The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index; 22 of the 54 sources its claims cite were checked for support.
A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees
Open accessAbstract
Peripheral nerves provide a promising source of motor control signals for neuroprosthetic devices. Unfortunately, the clinical utility of current peripheral nerve interfaces is limited by signal amplitude and stability. Here, we showed that the regenerative peripheral nerve interface (RPNI) serves as a biologically stable bioamplifier of efferent motor action potentials with long-term stability in upper limb amputees. Ultrasound assessments of RPNIs revealed prominent contractions during phantom finger flexion, confirming functional reinnervation of the RPNIs in two patients. The RPNIs in two additional patients produced electromyography signals with large signal-to-noise ratios. Using these RPNI signals, subjects successfully controlled a hand prosthesis in real-time up to 300 days without control algorithm recalibration. RPNIs show potential in enhancing prosthesis control for people with upper limb loss.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
22 of 54 cited sources checked · 11 supported · 0 flagged · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“Consequently, implanted amputees can control a limited number of independent movements (11).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Supportedcites [11] source
The Future Advances section (page unavailable) says that even with targeted muscle reinnervation, current control algorithms operate sequentially or control at most two degrees of freedom at once. This supports the claim that the number of independently controllable movements is limited. (LLM, conf=0.90)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“However, current peripheral nerve interfaces have limitations, which minimize their clinical utility (1, 2).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [1] source
- Supportedcites [2] source
The Electrical section (p. 2) says nerve electrodes can damage nerves and that compatibility issues require further study before widespread clinical application. The Disadvantages section (p. 3) lists additional limitations, including surgical complexity and difficulty achieving selective stimulation. These passages support the claim that limitations reduce clinical usefulness. (LLM, conf=0.92)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesEvery source the paper cites for this claim was checked and supports it.
In the paper
“Electrodes placed around a nerve have been successfully used in humans for improving sensory feedback for more than 2 years.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Supportedcites [8] source
The Discussion (p. 8) states that results from the peripheral nerve cuff interface were stable for more than two years in subject 1. The Discussion also reports improved functional performance with sensory feedback. The claim is supported for at least one human subject, not both. (LLM, conf=0.91)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The chronic bipolar electrodes used in this study are similar to those that have been previously observed to record stable EMG for up to 7.5 years (23).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Partly supportedcites [23] sourceExperimental — accuracy not yet measured
The Methods and Results describe implanted bipolar EMG recording electrodes, and the Discussion says the subjects used implanted EMG electrodes for control. But the 7.5-year observation in the Results and Discussion concerns functioning nerve cuff electrodes, not stable EMG recordings; the copy does not establish that duration for the recording electrodes. (LLM, conf=0.85)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“In previous studies, investigators have provided prosthetic control signals by interfacing with intact muscles in the residual limb.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [24] source
- Not checked — no full text of the sourcecites [25] source
- Not checked — no full text of the sourcecites [26] source
- Supportedcites [27] source
The Introduction states that powered transradial prostheses commonly use EMG signals from forearm muscles to control hand opening and closing. This supports the claim that prosthetic control signals have been obtained by interfacing with muscles in the residual limb. (LLM, conf=0.91)
- Supportedcites [28] source
The Introduction describes myoelectric prostheses using signals from residual-limb muscles to control movement and notes existing clinical control methods. Methods §2.1 describes recording from forearm muscles in two amputee subjects. The copy does not provide page numbers. (LLM, conf=0.90)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesEvery source the paper cites for this claim was checked and supports it.
In the paper
“To date, pattern recognition controllers have outperformed conventional controllers during standardized functional trials (36).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Supportedcites [36] source
The Results (In Lab Testing with Physical Prosthesis) report significantly better performance with pattern recognition than direct control on the SHAP and Clothespin Relocation Task. These standardized functional tests support the claim; the study involved eight transhumeral amputees with targeted muscle reinnervation. (LLM, conf=0.91)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Previous studies of simultaneous control of multiple DOFs have focused on controlling the wrist and hand open/closed (26, 28, 30).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [26] source
- Supportedcites [28] source
The Introduction describes earlier real-time demonstrations of simultaneous control of two wrist DOFs, with or without a hand DOF. The Methods describe this study’s simultaneous-control task as wrist rotation, wrist flexion/extension, and hand open/close, matching the cited area of work. (LLM, conf=0.88)
- Supportedcites [30] source
The Discussion reports simultaneous control of wrist and hand-opening/closing DOFs. The clothespin-task description also identifies simultaneous wrist pronation–supination and hand opening–closing, so this paper is an example of the earlier work described in the citing sentence. (LLM, conf=0.88)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesThe cited sources support only part of this claim — read each source’s verdict below.
In the paper
“results from previous animal work, which demonstrated that it took approximately 3 months for RPNIs to mature and stabilize (12, 15–17).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > MATERIALS AND METHODS > Electrophysiology
What the sources say
- Not checked — no full text of the sourcecites [12] source
- Not checked — no full text of the sourcecites [15] source
- Partly supportedcites [16] sourceExperimental — accuracy not yet measured
The Methods (§2.1; page unavailable) say the rats recuperated for four months to allow healing and graft reinnervation, with evaluation during the fourth month. The paper reports that RPNI signal amplitudes did not vary appreciably over the evaluation period (Figure 4 caption; page unavailable), but it does not demonstrate that maturation and stabilization took approximately three months. (LLM, conf=0.84)
- Not checked — no full text of the sourcecites [17] source
Load-bearingStrength:boosted· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Two participants (P1 and P2) with RPNIs created above the elbow (that is, no long flexors or extensors of the fingers or wrist remain) were evaluated with ultrasound, and their RPNIs were observed to contract during phantom finger movements.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesA result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Using these RPNI signals, subjects successfully controlled a hand prosthesis in real-time up to 300 days without control algorithm recalibration.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes
- Probably not a substantial claim. 15
- It may state two separate claims as one. 38
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“RPNI is composed of a transected peripheral nerve, or peripheral nerve fascicle, that is implanted into a free muscle graft (12, 13).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [12] source
- Partly supportedcites [13] sourceExperimental — accuracy not yet measured
The Introduction and Methods describe an RPNI attached to the end of a divided peripheral nerve. But this study constructed it with cultured myoblasts in a scaffold—silicone mesh or acellular muscle—not by implanting the nerve or a fascicle into a free muscle graft. The cited passages also do not describe use of a nerve fascicle. (LLM, conf=0.88)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“This process creates a stable, peripheral nerve bioamplifier that produces high-amplitude EMG signals, which could be used to control a prosthetic device (14–17).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [14] source
- Not checked — no full text of the sourcecites [15] source
- Supportedcites [16] source
The Introduction describes the reinnervated muscle graft as a signal amplifier and transducer intended for prosthetic control, and reports earlier rat responses without loss of amplitude over 14 months. Section 4.1 reports large RPNI EMG signals—about 1 mV peak-to-peak—in awake rats. The paper supports their potential use for prosthetic control; it does not claim that such control was demonstrated in humans. (LLM, conf=0.88)
- Not checked — no full text of the sourcecites [17] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In addition, RPNIs have been shown to prevent and treat neuroma pain and phantom pain after amputation (18–20).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [18] source
- Not checked — no full text of the sourcecites [19] source
- Partly supportedcites [20] sourceExperimental — accuracy not yet measured
The Results and Discussion report reduced neuroma and phantom pain after RPNI surgery in 16 amputees treated for symptomatic neuromas. The Conclusions and Future Directions describe neuroma prevention at primary amputation as a potential use requiring further study; this pilot study does not show prevention of either neuroma or phantom pain. (LLM, conf=0.90)
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Electrodes placed within a peripheral nerve can record distinct efferent motor action potentials but over time are susceptible to decline in signal amplitude (3, 4).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [3] source
- Partly supportedcites [4] sourceExperimental — accuracy not yet measured
The Results section, “Decoding USEA recordings allowed intuitive control of many movements” (page unavailable), reports neuronal action potentials and distinct movement-related firing patterns from intraneural electrodes. It also reports fewer electrodes with movement-correlated activity over time in one subject, but does not report a decline in signal amplitude; the Discussion (“Decode,” page unavailable) likewise describes declining recording ability, not amplitude. (LLM, conf=0.88)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“This strategy has provided reasonable signal amplitude and some control of a prosthetic limb in patients undergoing transradial amputations (24–28).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [24] source
- Not checked — no full text of the sourcecites [25] source
- Not checked — no full text of the sourcecites [26] source
- Partly supportedcites [27] sourceExperimental — accuracy not yet measured
The Introduction says powered transradial prostheses use forearm EMG signal amplitudes for limited control. The Abstract reports that five transradial amputees used residual-forearm signals to control a virtual arm, but the Discussion explicitly says they did not test a physical prosthesis. The paper does not establish a particular ‘reasonable’ signal amplitude. (LLM, conf=0.86)
- Partly supportedcites [28] sourceExperimental — accuracy not yet measured
The Methods and amputee-subject Results report that two transradial amputees used EMG to control a cursor in a virtual task. The Discussion explicitly says physical-prosthesis testing remains to be done, and the paper does not establish that the strategy provided reasonable signal amplitude. Thus, it supports some myoelectric control in transradial amputees, but not the claimed signal amplitude or control of a physical prosthetic limb. (LLM, conf=0.87)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“RPNIs have shown to be an effective technique to reduce symptomatic neuroma pain and also prevent neuroma formation (18–20).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Not checked — no full text of the sourcecites [18] source
- Not checked — no full text of the sourcecites [19] source
- Partly supportedcites [20] sourceExperimental — accuracy not yet measured
The Results report a 71% reduction in neuroma pain among 16 amputees treated with RPNIs. The Abstract Conclusions and Discussion state that RPNIs prevent neuroma formation through their proposed mechanism, but the Conclusions and Future Directions say prophylactic use still needs study. This pilot study therefore supports pain reduction, not a demonstrated clinical benefit in preventing new neuromas. (LLM, conf=0.88)
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“have been previously observed to record stable EMG for up to 7.5 years (23).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Partly supportedcites [23] sourceExperimental — accuracy not yet measured
The Results (Electrode performance; page not provided) report that nerve cuff electrodes continued to function for 7.5 years in one subject. The Methods describe separate implanted EMG recording electrodes, and the Discussion says subjects used them for control, but neither passage reports stable EMG recordings for 7.5 years or identifies the electrodes as RPNIs. (LLM, conf=0.88)
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In addition, intraneural probes, such as the Utah slanted electrode array, can provide large signals but currently run into issues of signal stability over time (4).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Partly supportedcites [4] sourceExperimental — accuracy not yet measured
The Discussion (Study limitations and Decode; page unavailable) reports unstable USEA recording ability and a decline in neural recording from post-implant day 13 to 30. It does not establish that the probes provide large neural signals; its reference to higher-amplitude signals concerns EMG that masked neural activity. (LLM, conf=0.84)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“as is necessary in TMR (29).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Partly supportedcites [29] sourceExperimental — accuracy not yet measured
The Introduction (page unavailable) says TMR transfers remaining arm nerves to residual muscles, and the Methods (page unavailable) identify muscles that received those transfers. Our copy does not say that TMR necessarily cuts the target muscles’ existing nerve branches or denervates existing muscle. (LLM, conf=0.83)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Similar results have been demonstrated with TMR (37), with a more recent study providing evidence that TMR decreases phantom limb pain (38).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Supportedcites [37] source
The citation to this paper (37) supports the claim that TMR showed similar pain outcomes: the Discussion says its outcomes compared favorably with established techniques, and the Results report resolution of neuroma pain in 14 of 15 patients. The phantom-limb-pain claim is attributed to citation 38, not this source. (LLM, conf=0.92)
- Not checked — no full text of the sourcecites [38] source
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“EMG-driven musculoskeletal models have been developed for real-time, physiologically accurate prosthesis control during functional tasks (30) but have only shown control of two to three DOFs.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
What the sources say
- Supportedcites [30] source
The EMG-driven Musculoskeletal Model section describes a physiologically correct model operating in real time. The Functional Tasks section reports prosthesis control during real-world activities, while the Results and Discussion describe control of wrist and hand DOFs, including simultaneous control of two DOFs. These passages support the cited example of functional control limited to a small number of DOFs. (LLM, conf=0.87)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, we successfully recorded independent efferent motor action potentials from RPNIs, which provided real-time prosthetic finger control up to 300 days without recalibration of the control algorithm.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Specifically, median RPNI 1 contracted for thumb flexion, whereas median RPNI 2 to RPNI 4 and a subsection of RPNI 1 contracted for index finger flexion (Fig. 2A).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Likewise, P4’s median nerve RPNI had an average peak-to-peak amplitude of 579 ± 209 μV (SNR = 19.1), ulnar nerve RPNI 1 had an amplitude of 334 ± 80.9 μV (SNR = 15.6), and ulnar nerve RPNI 2 had an amplitude of 501 ± 164 μV (SNR = 28.3) (fig. S2, C and D).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Surgically implanted indwelling bipolar electrodes
Strength:plain· not yet calibratedSingle caseTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For index finger flexion, median RPNI 1 contracted more than the surrounding tissue (P < 0.001), whereas observation of median RPNI 2 to RPNI 4 demonstrated smaller contractions and had mixed pixel changes (table S2).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Here, we observed clear EMG spikes associated with thumb movements in median RPNI 1, with a signal-to-noise ratio (SNR) of 4.62, and for small finger movements in ulnar RPNI 1 and RPNI 2 (mean SNR = 3.80) (Fig. 2C).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In comparison, RPNIs have remained a stable peripheral nerve interface for 2 years in P1, 8 months in P2, 3 years in P3, and 1 year in P4.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“A small subsection of the ulnar RPNI did appear to undergo small but visible contractions during volitional index finger movement.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The majority of movements were selected quickly, with the fastest motion selection times, or the times between EMG onset and the classifier’s prediction, less than 0.3 s”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Overall, P1’s median RPNI 1 and ulnar RPNI 1 and RPNI 2 had a significant change in mean pixel intensity than the surrounding tissue during thumb and small finger flexion, respectively (P < 0.001 for both comparisons).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“P3 and P4 acquired targets with 100 and 96.3% accuracy on day 0, respectively.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The SNR of the recorded EMG had a mean of 4.21 in P1, 68.9 in P3, and 21.0 in P4.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“P3 and P4 performed the same target hitting task in these two axes, hitting eight targets with 100 and 97.2% accuracy with an average time to success of 0.987 ± 0.16 and 2.83 ± 0.43 s, respectively (Fig. 5, E and F, and movie S9).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, extraction of single motor units from P3 and P4’s median RPNIs showed signal amplitude variability from day to day, ±17.2 and ±6.63%, respectively, but no observable decreasing trend in amplitude (Fig. 5, C and D).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The averaged peak-to-peak amplitude for the most preferred movement on the RPNIs was 2.77 ± 0.660 mV with an SNR of 102 and 501 ± 145 μV with an SNR of 36.1 on P3’s median and ulnar RPNIs, respectively (fig. S2, A and B).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Surgically implanted indwelling bipolar electrodes
Strength:plain· not yet calibratedSingle caseTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The bulk of RPNI 1 and RPNI 2 contracted during volitional small finger PIP/DIP joint flexion of the phantom hand, whereas a subsection of both RPNIs contracted for thumb movement (Fig. 2A and movie S2).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“As a direct comparison, P4 performed the same task using surface EMG (see Materials and Methods), hitting targets with 78.4% accuracy with an average time to success of 4.40 ± 0.50 s (movie S10).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“For the ulnar nerve RPNIs, RPNI activation appropriately occurred during flexion of the phantom thumb, whereas minimal activation occurred during index finger flexion.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Surgically implanted indwelling bipolar electrodes
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A result the paper reports from its own data — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“P3 and P4’s averaged motion selection time across all movements were 0.172 ± 0.105 and 0.234 ± 0.0894 s, respectively (means ± SD; table S3).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“we did not need to transect any nerve branches to any of the residual muscles of the upper arm and, thus, did not denervate existing muscle”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“However, recording specific efferent motor action potentials is challenging because of the small amplitude of the signals, limiting the number of independent control signals that can be recorded (9).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [9] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“With TMR, a normally innervated muscle must be partially denervated to provide a new target for recording EMG signals from the implanted nerve.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“Instead, electrical stimulation has shown promise in providing tactile feedback through stimulation of afferent sensory axons (3, 5–7).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
Strength:plain· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Here, we showed that the regenerative peripheral nerve interface (RPNI) serves as a biologically stable bioamplifier of efferent motor action potentials with long-term stability in upper limb amputees.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“In addition, two or three nerves (median, radial, and ulnar) may be implanted into the same target muscle (for example, the pectoralis major muscle), making it difficult to record independent control signals from individual nerves or fascicles.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Targeted muscle reinnervation (TMR) can provide multiple control signals by transferring divided peripheral nerves in a residual limb to intact local or regional muscles. Surface electromyography (EMG) is then used to record the efferent motor control signals (10).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > INTRODUCTION
What the sources say
- Not checked — no full text of the sourcecites [10] source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Surface EMG amplitude was lower than intramuscular EMG, which may have contributed to the decrease in performance.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Real-time myoelectric prosthetic control
Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“P3’s nerves had an additional 2 years to reinnervate his muscle grafts before electrode implantation.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Strength:plain· not yet calibratedSingle caseTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This was anatomically unexpected but may be due to P1’s 16-year period without a hand, making certain volitional movements difficult to generate independently.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“Our study design did not include a direct comparison to other surgical approaches (for example, TMR).”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These RPNI contractions, seen in two participants missing finger-related musculature, suggest that nerves carrying efferent motor action potentials controlling finger functionality successfully reinnervated the RPNIs, allowing P1 and P2 to have volitional control over their phantom hand.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The attempted phantom finger movements made by participants correspond to volitional motor commands in the residual nerves that can drive RPNI contractions.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The wide SNR gap between P1, P3, and P4 is likely due to the smaller bipolar electrode spacing in acute fine wires (1 mm) versus indwelling EMG electrodes (10 mm), whereas the difference between P3 and P4’s measured SNR may be due to the period of reinnervation.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These findings suggest that efferent motor action potentials can be recorded using RPNIs from individual nerve fascicles, each of which may have distinct and unique motor control signals.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Surgically implanted indwelling bipolar electrodes
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The more accurate surgical targeting of the bipolar indwelling electrode into the RPNI may account for the larger amplitude efferent motor action potential signals compared with P1.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Surgically implanted indwelling bipolar electrodes
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“This suggests that these RPNI grafts amplify efferent motor nerve action potentials, actively contract, and generate EMG signals similar to residual muscle.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > RESULTS > Observed muscle contractions of the RPNI
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“The Institutional Review Board at the University of Michigan approved this study, and each participant provided written and informed consent.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > MATERIALS AND METHODS > Study design
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“No power analysis was calculated before the study.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > MATERIALS AND METHODS > Study design
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This was a first-in-human, non-blinded, nonrandomized pilot study.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > MATERIALS AND METHODS > Study design
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
What the paper did — it cites no source for this, so there is none to check. The quote shows it is in the paper.
In the paper
“This led to a careful decision on which residual muscles to implant to provide the best prosthesis control for the subjects.”
§ A regenerative peripheral nerve interface allows real-time control of an artificial hand in upper limb amputees > DISCUSSION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
The paper relies on this without support.
The attempted phantom finger movements made by participants correspond to volitional motor commands in the residual nerves that can drive RPNI contractions.
“Participants were asked at the beginning of each behavioral task whether they could move the fingers of their phantom limb. In this situation, the RPNIs were observed contracting during movement of the phantom fingers.”
The paper relies on this without support.
The signals recorded from RPNI electrodes are efferent motor action potentials generated by the RPNI grafts rather than by other sources.
“In both participants, large amplitude, anatomically appropriate motor control signals were recorded from the indwelling RPNI electrodes (n = 2,3).”
The paper relies on this without support.
Both the median and ulnar nerves supply several intrinsic thumb muscles that help flex the thumb CMC and MCP joints.
“This is anatomically appropriate since both the median and ulnar nerves innervate several intrinsic muscles, which assist in flexing the thumb CMC/MCP joints.”
The authors state this as an assumption.
The thumb state vector represents thumb flexion/extension and thumb opposition/reposition position and velocity.
“We assume that the thumb state vector xt represents the position and velocity of the thumb flexion/extension and thumb opposition/reposition.”
Citations
Cites
MuJoCo: A physics engine for model-based control
Todorov, E., Erez, T., & Tassa, Y. (2012) · 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems · doi:10.1109/iros.2012.6386109 · Cited by 4,767
A new strategy for multifunction myoelectric control
Hudgins, B., Parker, P., & Scott, R. N. (1993) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.204774 · Cited by 2,149 · cited 1×
“The real-time computer calculated the mean absolute value (MAV) from the EMG waveform (10, 35).”
MethodUse of NeuroEyeCoach™ to Improve Eye Movement Efficacy in Patients with Homonymous Visual Field Loss
Sahraie, A., Smania, N., & Zihl, J. (2016) · BioMed Research International · doi:10.1155/2016/5186461 · Cited by 1,777
Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms
Kuiken, T. A. (2009) · JAMA · doi:10.1001/jama.2009.116 · Cited by 1,089
Restoring natural sensory feedback in real-time bidirectional hand prostheses
Raspopovic, S., Capogrosso, M., Petrini, F. M., Bonizzato, M., Rigosa, J., Di Pino, G., Carpaneto, J., Controzzi, M., Boretius, T., Fernandez, E., et al. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3006820 · Cited by 1,001
Navarro, X., Krueger, T. B., Lago, N., Micera, S., Stieglitz, T., & Dario, P. (2005) · Journal of the Peripheral Nervous System · doi:10.1111/j.1085-9489.2005.10303.x · Cited by 845 · cited 1×
“However, current peripheral nerve interfaces have limitations, which minimize their clinical utility (1, 2).”
BackgroundA neural interface provides long-term stable natural touch perception
Tan, D. W., Schiefer, M. A., Keith, M. W., Anderson, J. R., Tyler, J., & Tyler, D. J. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008669 · Cited by 751
Dumanian, G. A., Potter, B. K., Mioton, L. M., Ko, J. H., Cheesborough, J. E., Souza, J. M., Ertl, W. J., Tintle, S. M., Nanos, G. P., Valerio, I. L., et al. (2019) · Annals of Surgery · doi:10.1097/sla.0000000000003088 · Cited by 530
Quantifying Pattern Recognition—Based Myoelectric Control of Multifunctional Transradial Prostheses
Li, G., Schultz, A. E., & Kuiken, T. A. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039619 · Cited by 443
A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control
Ajiboye, A. B., & Weir, R. F. (2005) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2005.847357 · Cited by 415
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 287
González-Prieto, J., Cristóbal, L., Arenillas, M., Giannetti, R., Frías, J. D. M., Rivas, E. A., Barbero, E. S., Gutiérrez-Pecharromán, A., Montero, F. D., & Maldonado, A. A. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25021141 · Cited by 13
“Nevertheless, future researchers should prioritize addressing the dearth of clinical trials that substantiate these findings [12,50,54,57,58,64,65].”
BackgroundFactors influencing perceived function in the upper limb prosthesis user population
Zhang, X., Baun, K. S., Trent, L., Miguelez, J. M., & Kontson, K. L. (2021) · PM&R · doi:10.1002/pmrj.12697 · Cited by 12
Characterization of Plasma Immunoglobulin G Responses in Elite Neutralizers of Human Cytomegalovirus
Harnois, M. J., Dennis, M. L., Stöhr, D., et al. (2022) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiac341 · Cited by 12
The Next Frontier in Neuroprosthetics: Integration of Biomimetic Somatosensory Feedback
Tian, Y., Valle, G., Cederna, P. S., & Kemp, S. W. P. (2025) · Biomimetics · doi:10.3390/biomimetics10030130 · Cited by 14
Self-citationEngineered Regenerative Isolated Peripheral Nerve Interface for Targeted Reinnervation
Kwon, J., Eom, S., Kong, J. S., Cho, D., Kim, D. S., & Kim, J. (2024) · Advanced Materials · doi:10.1002/adma.202406652 · Cited by 11
Trigeminal Traumatic Neuroma: a Comprehensive Review of the Literature Based On a Rare Case
Thomas, D. C., Mallareddy, S. D., Okeson, J. P., et al. (2022) · Current Pain and Headache Reports · doi:10.1007/s11916-022-01018-w · Cited by 11
Ultrasound appearance of regenerative peripheral nerve interface with clinical correlation
Morag, Y., Kumar, N. G., Hamill, J. B., Cederna, P. S., Masotti, M., Kemp, S. W. P., & Kung, T. A. (2022) · Skeletal Radiology · doi:10.1007/s00256-022-04256-6 · Cited by 11
“Regenerative peripheral nerve interface (RPNI) surgery is a simple surgical technique where a non-vascularized muscle graft is secured around the distal end of a transected peripheral nerve or its individual fascicles [6, 7] (Figs.”
BackgroundSelf-citationNovel Approaches to Reduce Symptomatic Neuroma Pain After Limb Amputation
Hart, S. E., & Kung, T. A. (2020) · Current Physical Medicine and Rehabilitation Reports · doi:10.1007/s40141-020-00276-2 · Cited by 11
Self-citationEngineering and surgical advancements enable more cognitively integrated bionic arms
Ortiz-Catalan, M. (2021) · Science Robotics · doi:10.1126/scirobotics.abk3123 · Cited by 10
Recommendations for the Successful Implementation of Upper Limb Prosthetic Technology
Gates, D. H., Engdahl, S. M., & Davis, A. J. (2021) · Hand Clinics · doi:10.1016/j.hcl.2021.05.007 · Cited by 11
Self-citationTantipoon, P., Praditpod, N., Pakleppa, M., et al. (2023) · Applied Sciences · doi:10.3390/app13116384 · Cited by 10
Tereshenko, V., Dotzauer, D. C., Schmoll, M., Harnoncourt, L., Rojas, G. C., Gfrerer, L., Eberlin, K. R., Austen, W. G., Blumer, R., Farina, D., et al. (2024) · Science Advances · doi:10.1126/sciadv.adj3872 · Cited by 10
Regenerative peripheral nerve interfaces (RPNIs): an overview of innovative surgical approaches
Berberoglu, I., Burke, K. L., Cederna, P. S., & Kemp, S. W. P. (2024) · Plastic and Aesthetic Research · doi:10.20517/2347-9264.2023.101 · Cited by 12
Self-citationHybrid Bionic Nerve Interface for Application in Bionic Limbs
Cho, Y., Jeong, H. H., Shin, H., Pak, C. J., Cho, J., Kim, Y., Kim, D.-G., Kim, T. K., Kim, H., Kim, S., et al. (2023) · Advanced Science · doi:10.1002/advs.202303728 · Cited by 10
A Roadmap Towards Standards for Neurally Controlled End Effectors
Paek, A. Y., Brantley, J. A., Ravindran, A. S., Nathan, K., He, Y., Eguren, D., Cruz-Garza, J. G., Nakagome, S., Wickramasuriya, D. S., Chang, J., et al. (2021) · IEEE Open Journal of Engineering in Medicine and Biology · doi:10.1109/ojemb.2021.3059161 · Cited by 10
“There are ongoing developments to enhance myoelectric control through surgical interventions such as targeted muscle reinnervation [36], [37] and electrode implantation [38],”
BackgroundHall, S. R., Rasmussen, S. A., Crittenden, E., Dawson, C. A., Bartlett, K. E., Westhorpe, A., Albulescu, L.-O., Kool, J., Gutiérrez, J. M., & Casewell, N. R. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.20.492855 · Cited by 10
Lee, J. C., Kubiak, C. A., Best, C. S. W., Hamill, J. B., Ki, J., Kim, H. M., Roth, R. S., Kozlow, J. H., Tinney, M. J., Geisser, M. E., et al. (2025) · Annals of Surgery Open · doi:10.1097/as9.0000000000000535 · Cited by 10
Self-citationDong, M., Yang, J., Zhen, F., Du, Y. J., Ding, S., Yu, A., Zou, R., Qiu, L., Guo, Z., Coleman, H. A., et al. (2025) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.4c19445 · Cited by 10
Soft sensory-neuromorphic system for closed-loop neuroprostheses
Kim, J., Lee, S., Yoon, J., & Son, D. (2025) · International Journal of Extreme Manufacturing · doi:10.1088/2631-7990/adb9aa · Cited by 13
Cady, S. R., Lambrecht, J. M., Dsouza, K. T., Dunning, J. L., Anderson, J. R., Malone, K. J., Chepla, K. J., Graczyk, E. L., & Tyler, D. J. (2025) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-025-01613-z · Cited by 11
“Additionally, implanted EMG electrodes provide stable myoelectric controller inputs without needing to collect additional EMG training data for months [14, 16– 18].”
Physics-Informed Deep Transfer Learning for sEMG-Based Multiple Joint Angle and Torque Estimation
Han, L.-J., Cheng, L., Zou, Y., et al. (2025) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2025.3572159 · Cited by 9
“Estimating the human neuromuscular status based on sEMG signals provides important tools for various human-machine interactions (HMIs), such as exoskeleton control [3], [4], prosthetic limb control [5], [6] and human-robot collaboration [7], [8].”
Innovations in Pediatric Prosthetics
Hall, M. J., Wustrack, R. L., Cummings, D. R., Welling, R. I., Kaleta, M. K., Koenig, K. D., Laine, J. C., & Morgan, S. J. (2021) · Journal of the Pediatric Orthopaedic Society of North America · doi:10.55275/jposna-2021-221 · Cited by 9
Extra-neural signals from severed nerves enable intrinsic hand movements in transhumeral amputations
Ahkami, B., Mastinu, E., Earley, E. J., & Ortiz-Catalan, M. (2022) · Scientific Reports · doi:10.1038/s41598-022-13363-2 · Cited by 9
Atkinson, E. W., Kuliasha, C. A., Kasper, M., Furniturewalla, A., Lim, A. S., Jiracek-Sapieha, L., Brake, A., Gormaley, A., Rivera-Llabres, V. G., Singh, I., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac8bfe · Cited by 9
“The regenerating axons attach to the muscle tissue, which then acts as a natural amplifier to the efferent neural signals [1].”
Taghlabi, K. M., Cruz-Garza, J. G., Hassan, T., Potnis, O., Bhenderu, L. S. S., Guerrero, J. R., Whitehead, R. E., Wu, Y. C., Luan, L., Xie, C., et al. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad200f · Cited by 8
“The aforementioned trends and obstacles present opportunities for improving prosthetic control, mitigating neuroma pain, and advancing a bidirectional closed-loop prosthetic paradigm [104].”
BackgroundInfluentialdos Santos, F., Correia, M., Dias, R., Bola, B., Noberini, R., Ferreira, R. S., Trigo, D., Domingues, P. M., Teixeira, J., Bonaldi, T., et al. (2024) · Aging Cell · doi:10.1111/acel.14371 · Cited by 9
Tang, C., Wang, P., Li, Z., Zhong, S., Yang, L., & Li, G. (2024) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-00613 · Cited by 8
“Another male participant underwent a horizontal amputation to address ulnar, median, and radial nerve tumors located in the anterior elbow fossa (Vu et al., 2020).”
InfluentialA flexible carbon nanotube electrode array for acute in vivo EMG recordings
Pack, A. R., Yan, J. S., Pasquali, M., et al. (2023) · Journal of Neurophysiology · doi:10.1152/jn.00262.2022 · Cited by 8
Gates, D. H., Gonzalez, M. A., Kung, T. A., & Chestek, C. A. (2023) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2023.100497 · Cited by 8
Self-citationQuinn, K. N., Tian, Y., Budde, R. B., Irazoqui, P. P., TUFFAHA, S. H., & Thakor, N. V. (2023) · Muscle & Nerve · doi:10.1002/mus.28029 · Cited by 8
Cicardi, M. E., Kankate, V., Sriramoji, S., Krishnamurthy, K., Markandaiah, S. S., Verdone, B. M., Girdhar, A., Nelson, A. T., Rivas, L. B., Boehringer, A., et al. (2024) · Communications Biology · doi:10.1038/s42003-024-06071-2 · Cited by 8
DistaNet: grasp-specific distance biofeedback promotes the retention of myoelectric skills
Ma, C., & Nazarpour, K. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad4af7 · Cited by 9
“Machine learning enables the estimation of user intents by decoding distinct grasp or movement signatures from the myoelectric signals [5, 9].”
BackgroundRevision Peripheral Nerve Surgery of the Upper Extremity
Dibbs, R. P., Ali, K., Sarrami, S. M., & Koshy, J. C. (2021) · Seminars in Plastic Surgery · doi:10.1055/s-0041-1727290 · Cited by 9
Characterizing the spatiotemporal variability of Alzheimer's disease pathologyPreprint
Vogel, J. W., Young, A., Oxtoby, N., Smith, R., Ossenkoppele, R., Strandberg, O., Joie, R. L., Aksman, L., Grothe, M., Iturria-Medina, Y., et al. (2020) · medRxiv · doi:10.1101/2020.08.20.20176883 · Cited by 10
Efficacy, public health impact and optimal use of the Takeda dengue vaccinePreprint
Daniels, B. C., Ferguson, N. M., & Dorigatti, I. (2024) · medRxiv · doi:10.1101/2024.08.10.24311393 · Cited by 8
Sonomyography for Control of Upper-Limb Prostheses: Current State and Future Directions
Engdahl, S. M., Acuña, S. A., Kaliki, R. R., & Sikdar, S. (2023) · JPO Journal of Prosthetics and Orthotics · doi:10.1097/jpo.0000000000000482 · Cited by 7
Merging Humans and Neuroprosthetics through Regenerative Peripheral Nerve Interfaces
Tian, Y., Vaskov, A. K., Adidharma, W., Cederna, P. S., & Kemp, S. W. P. (2024) · Seminars in Plastic Surgery · doi:10.1055/s-0044-1779028 · Cited by 7
“42,47 C-P1 C-P1 had one RPNI created on each of their ulnar, median, and radial nerves.”
BackgroundMethodInfluentialSelf-citationHuete‐Pérez, J. A., Ernst, K. C., Cabezas-Robelo, C., Páiz-Medina, L., Silva, S., & Huete, A. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-051836 · Cited by 7
Yan, D., Jiman, A. A., Bottorff, E. C., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.19.476928 · Cited by 7
Self-citationPettersen, E., Sassu, P., Pedrini, F. A., Granberg, H., Reinholdt, C., Breyer, J. M., Roche, A. D., Hart, A. M., Ladak, A., Power, H. A., et al. (2024) · Journal of Visualized Experiments · doi:10.3791/66378 · Cited by 7
Self-citationTereshenko, V., Giorgino, R., Eberlin, K. R., Valerio, I. L., Souza, J. M., Bonetti, M. A., Peretti, G. M., & Aszmann, O. C. (2024) · Plastic & Reconstructive Surgery Global Open · doi:10.1097/gox.0000000000005850 · Cited by 6
“Although percutaneous wires for signal transmission might be at high risk of cutaneous infection, 42 OI provides an enclosed communication channel with minimal risk of infection between the EMG electrodes and the prosthetic device.”
BackgroundThomson, C. J., Tully, T. N., Stone, E. S., Morrell, C. B., Scheme, E., Warren, D. J., Hutchinson, D. T., Clark, G. A., & George, J. A. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad94a7 · Cited by 6
Design and control of intelligent bionic artificial hand based on image recognition
Shi, P. A., Fang, K., & Yu, H. (2022) · Technology and Health Care · doi:10.3233/thc-213320 · Cited by 6
Tian, Y., Slepyan, A., Iskarous, M. M., Sankar, S., Hunt, C. L., & Thakor, N. V. (2022) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas54905.2022.9948609 · Cited by 7
Cut wires: The Electrophysiology of Regenerated Tissue
Lowe, A. L., & Thakor, N. V. (2021) · Bioelectronic Medicine · doi:10.1186/s42234-021-00062-y · Cited by 6
Improving Upper-limb Prosthesis Usability: Cognitive Workload Measures Quantify Task DifficultyPreprint
Paskett, M. D., Garcia, J. K., Jones, S. T., Brinton, M. R., Davis, T. S., Duncan, C. C., Cooper, J. M., Strayer, D. L., & Clark, G. A. (2022) · medRxiv · doi:10.1101/2022.08.02.22278038 · Cited by 6
Toward Natural Limb Function: A New Era in Prosthetic Innovation
Tian, Y., Wallace, D. M., Cederna, P. S., Chestek, C. A., & Kemp, S. W. P. (2025) · Annals of Neurology · doi:10.1002/ana.27287 · Cited by 8
“44,79,80 Kuiken et al. developed targeted muscle reinnervation (TMR), a surgical technique that coapts a divided peripheral nerve in a residual limb to a divided motor branch of a target muscle.”
InfluentialSelf-citationFerrante, L., Boesendorfer, A., Barsakcioglu, D. Y., Baumgartner, B., Al-Ajam, Y., Woollard, A., Kang, N., Aszmann, O. C., & Farina, D. (2025) · Nature Biomedical Engineering · doi:10.1038/s41551-025-01537-y · Cited by 5
“Although previous research has shown that RPNI surgery can create functionally selective units 11 , there are inherent physical limitations to how many RPNIs can be generated from a single donor nerve.”
InfluentialOrgan Neuroprosthetics: Connecting Transplanted and Artificial Organs with the Nervous System
Micera, S., Menciassi, A., Cianferotti, L., Gruppioni, E., & Lionetti, V. (2024) · Advanced Healthcare Materials · doi:10.1002/adhm.202302896 · Cited by 5
Wang, Z., Zhang, D., Yi, X. Z., Zhao, Y., & Yu, A. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.914344 · Cited by 7
“A recent study has demonstrated that targeted muscle reinnervation (TMR), another neural-machine interface technology that involves transferring the PNS into specific target muscles, could improve the spinal cord microenvironment for the survival of motor neurons (Lu et al., 2022).”
BackgroundMethodInfluentialVerardo, C., Romeni, S., & Micera, S. (2025) · iScience · doi:10.1016/j.isci.2025.112495 · Cited by 6
“60 However, while these interfaces are well-suited for capturing neural motor commands by leveraging the natural signal amplification of muscles, their potential for recording un-myelinated fiber activity has yet to be explored.”
Clinical Basis for Creating an Osseointegrated Neural Interface
Karczewski, A. M., Zeng, W., Stratchko, L. M., Bachus, K. N., Poore, S. O., & Dingle, A. M. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.828593 · Cited by 5
Communicative capital: a key resource for human–machine shared agency and collaborative capacity
Mathewson, K. W., Parker, A. S. R., Sherstan, C., Edwards, A. L., Sutton, R. S., & Pilarski, P. M. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07948-1 · Cited by 6
“For example, pattern recognitionbased controllers have provided an improvement over conventional controllers in standardized tasks in randomized clinical trials in part because of their ability to learn to interpret and act upon diverse collections of signals provided by a human user [37, 38].”
BackgroundToward a robust swallowing detection for an implantable active artificial larynx: a survey
Mialland, A., Atallah, I., & Bonvilain, A. (2023) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-023-02772-8 · Cited by 6
“Both in terms of signal quality and durability [252].”
BackgroundMulè, M. P., Martins, A. J., Cheung, F., Farmer, R., Sellers, B. A., Quiel, J. A., Jain, A., Kotliarov, Y., Bansal, N., Chen, J., et al. (2023) · medRxiv · doi:10.1101/2023.03.20.23287474 · Cited by 5
Hand prostheses with somatosensory feedback: functional and clinical benefits
Shokur, S., Bassolino, M., Kang, N., Ackerley, R., & Micera, S. (2026) · The Lancet Neurology · doi:10.1016/s1474-4422(25)00493-4 · Cited by 6
Zbinden, J., & Edwards, S. (2024) · doi:10.1109/embc53108.2024.10782980 · Cited by 4
“Recent advances in surgical upper extremity reconstruction propose a solution to this problem: new myoelectric sites can be created by reconnecting the nerves which biologically used to actuate the wrist and fingers [1], [2] .”
Jawad, T., Koh, R. G. L., & Zariffa, J. (2023) · BioMedical Engineering OnLine · doi:10.1186/s12938-023-01181-0 · Cited by 4
“One potential source for data that can be used as a control signal for prosthetic limbs is recordings from peripheral nerves [4, 5], which offer the benefits of fully implanted systems and, unlike electromyography, can be applicable if substantial amounts of musculature are missing.”
BackgroundLee, C., Vaskov, A. K., Davis, A. J., et al. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-024-01307-y · Cited by 4
“Previous studies have modified the SHAP to require the person to move a sequence of objects that each require different grips [9, 19].”
BackgroundSelf-citationLowe, A. L., Rivera-Santana, M. V., Bopp, T. S., Quinn, K. N., Johnson, J., Ward, C. W., Chung, T., TUFFAHA, S. H., & Thakor, N. V. (2024) · Frontiers in Physiology · doi:10.3389/fphys.2024.1328520 · Cited by 4
Leung, E. S., & Mofatteh, M. (2025) · Cureus · doi:10.7759/cureus.82567 · Cited by 5
“Not only does this limit the precision of control and the quality of sensory feedback [32,38], but a cuff electrode designed to stimulate a specific nerve may also activate nearby sensory nerves, leading to unintended sensations.”
InfluentialLimb Amputations in Cancer: Modern Perspectives, Outcomes, and Alternatives
Huynh, T. H., Kuruvilla, D., Nester, M. D., Zervoudakis, G., Letson, G. D., Joyce, D. M., Binitie, O. T., & Lazarides, A. L. (2023) · Current Oncology Reports · doi:10.1007/s11912-023-01475-5 · Cited by 4
Hespe, G. E., & Brown, D. L. (2024) · Seminars in Plastic Surgery · doi:10.1055/s-0043-1778041 · Cited by 5
“21 It was fi rst described for clinical use for the management of neuroma pain by Woo et al who demonstrated a signi fi cant improvement in both neuroma pain and phantom limb pain (PLP).”
MethodSTEER: 3D Printed Guide for Nerve Regrowth Control and Neural Interface in Non-Human Primate Model
Blasiak, A., Ng, K. A., Wong, M. D. S., Tsai, C.-W., Rusly, A., Gammad, G. G. L., Voges, K., Libedinsky, C., Yen, S., Thakor, N. V., et al. (2021) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2021.3113653 · Cited by 4
Monitoring at-home prosthesis control improvements through real-time data logging
Osborn, L. E., Moran, C. W., Dodd, L. D., Sutton, E. E., Acosta, N. N., Wormley, J. M., Pyles, C. O., Gordge, K. D., Nordstrom, M. J., Butkus, J., et al. (2022) · Journal of Neural Engineering · doi:10.1088/1741-2552/ac6d7b · Cited by 4
“Surgical techniques, such as targeted muscle reinnervation [17] and regenerative peripheral nerve interfaces [18], may offer potential for improving prosthesis control.”
Savitz, B. L., Dean, Y. E., Popa, N. K., Cornely, R. M., Byers, V., Gutama, B. W., Abbott, E. N., Torres‐Guzman, R. A., Alter, N. E., Stehr, J. D., et al. (2025) · Annals of Plastic Surgery · doi:10.1097/sap.0000000000004273 · Cited by 3
“38 In a study, patients were monitored for 2 years during which steady amplified EMG signals were produced, allowing the patient to achieve 99% accuracy during a multisequence coffee making task without calibration.”
Wojciechowska, M., Thing, M., Hu, Y., Mazzoni, G., Harder, L. M., Werge, M. P., Kimer, N., Das, V., Moreno, J., Prada‐Medina, C. A., et al. (2026) · Hepatology · doi:10.1097/hep.0000000000001811 · Cited by 4
Technologies in clinical neurophysiology for brain-body interfacing: IFCN handbook chapter
Cimolato, A., Sparapani, A., & Raspopović, S. (2026) · Clinical Neurophysiology · doi:10.1016/j.clinph.2026.2111913 · Cited by 3
Reactive-Accelerated-Aging Testing of Thinned Tissue-Engineered Electronic Nerve Interfaces
Jiracek-Sapieha, L., Fluker, K. A., & Judy, J. W. (2023) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc40787.2023.10340337 · Cited by 3
“When the tissue-engineered electronic nerve interface (TEENI) is sutured to a nerve stump, the residual nerve stump grows through the scaffold towards a tissue target (e.g., a nerve stump innervating muscle tissue or de-innervated muscle tissue) [7] [1].”
BackgroundZbinden, J., Earley, E. J., & Ortiz-Catalan, M. (2024) · Journal of Neural Engineering · doi:10.1088/1741-2552/ad349c · Cited by 3
“The RPNI technique has so far been primarily used for creating additional myoelectric sources for people with trans-radial amputation and allowed for intuitive prosthesis control of several bionic joints or grasps [24–27].”
MethodVaskov, A. K., & Chestek, C. A. (2021) · Hand Clinics · doi:10.1016/j.hcl.2021.04.003 · Cited by 3
“Patients have used this framework to simultaneously control 3 to 6 wrist and hand DOF using research grade hardware or virtual reality environments.(13,16) The dexterity and precision of control may be limited with commercially available hands that do not offer position or velocity control of individual motors.”
BackgroundMethodInfluentialSelf-citationAnderson, S. R., Gupta, N., Johnson, E. A., & Johnson, R. M. (2022) · BMJ Case Reports · doi:10.1136/bcr-2022-249705 · Cited by 3
Li, X., Chen, Y., Tu, X., et al. (2022) · Micromachines · doi:10.3390/mi13101558 · Cited by 3
“Electromyography [4], EEG [5], the cerebral cortex [6], and peripheral nerves [7] can be used as the signal source of prosthetic control instructions.”
MethodGonzalez, M. A., Vu, P. P., Vaskov, A. K., Cederna, P. S., Chestek, C. A., & Gates, D. H. (2022) · International Conference on Rehabilitation Robotics · doi:10.1109/icorr55369.2022.9896481 · Cited by 3
Self-citationAnatomics: Co-engineering body and machine in pursuit of synergistic bionic performance
Clites, T. R. (2023) · Current Opinion in Biomedical Engineering · doi:10.1016/j.cobme.2023.100490 · Cited by 3
An artificial nervous system to treat chronic stroke
Serruya, M. D., & Rosenwasser, R. H. (2021) · Artificial Organs · doi:10.1111/aor.13998 · Cited by 4
Abichabki, N. D. L. M., Zacharias, L. V., Moreira, N. C., Bellissimo‐Rodrigues, F., Moreira, F. D. L., Benzi, J. R. D. L., Ogasawara, T. M. C., Ferreira, J. C., Pereira, L. R. L., Braga, G. Ú. L., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.12.439341 · Cited by 3
Applications of Artificial Intelligence for Developing Exoskeletons and Prosthetics
Tsutsumi, A., Bhandarkar, S., & Ahuja, V. (2025) · Springer eBooks · doi:10.1007/978-3-031-40858-8_358-1 · Cited by 3
Regenerative Peripheral Nerve Interfaces for Treatment of Symptomatic Neuromas
Kumar, N. G., Cederna, P. S., & Kung, T. A. (2024) · Springer eBooks · doi:10.1007/978-3-031-59758-9_18 · Cited by 2
Self-citationKanetis, J., Gonzalez, M. A., Vaskov, A. K., Cederna, P. S., Chestek, C. A., & Gates, D. H. (2024) · IEEE Transactions on Medical Robotics and Bionics · doi:10.1109/tmrb.2024.3504001 · Cited by 2
“Despite the improved selectivity of stimulation, recording efferent motor action potentials is difficult due to the small amplitude of the signals [12], limiting their potential as a bidirectional interface.”
Self-citationLee, H., Lee, Y., Jiang, L., Chen, J., Lam, W. L., & Lo, Y. T. (2025) · Advanced technology in neuroscience . · doi:10.4103/atn.atn-d-25-00007 · Cited by 2
Developing Conductive Materials for Peripheral Nerve Interfaces
Zhang, H., Lü, L., Wang, Y., & Zhao, Y. (2025) · Small Methods · doi:10.1002/smtd.202501219 · Cited by 3
Mutnick, M. E., Wallace, D. M., Emara, Z. B., et al. (2025) · doi:10.1109/embc58623.2025.11254298 · Cited by 2
“We have previously demonstrated that RPNIs act as bioam-plifiers to the nerve signal [29] with high signal-to-noise ratios, high muscle specificity [30].”
Self-citationSpinal Interfacing via Muscle Recordings for Neuroprosthesis Control
Muceli, S., & Farina, D. (2021) · Handbook of Neuroengineering · doi:10.1007/978-981-15-2848-4_29-1 · Cited by 2
Surgical and Technological Advances in the Management of Upper Limb Amputation
Ayalon, O. B., & Hacquebord, J. H. (2022) · Current Physical Medicine and Rehabilitation Reports · doi:10.1007/s40141-022-00341-y · Cited by 2
In pursuit of reconstructing missing human hands
Gong, X., Sun, B.-Y., Wang, Q., et al. (2023) · National Science Review · doi:10.1093/nsr/nwad002 · Cited by 2
Quinn, K. N., Perkins, P., Wang, S., Harris, T., Subramanian, S., Glass, C., TUFFAHA, S. H., & Thakor, N. V. (2023) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner52421.2023.10123865 · Cited by 2
“intuitive control of advanced prostheses [2-6].”
High-fidelity interfacing for bionic rehabilitation
Vujaklija, I. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-23987-8.00003-1 · Cited by 2
Beyond Amputation: Functional Restoration after Upper-Extremity Limb Loss
Bricker, J. T., Bagdady, K. R., Janes, L. E., Souza, J. M., Dumanian, G. A., & Ko, J. H. (2025) · Journal of Hand Surgery Global Online · doi:10.1016/j.jhsg.2025.01.008 · Cited by 2
Sharma, V., Lloyd, E., Faltys, M. A., et al. (2025) · Prosthesis · doi:10.3390/prosthesis7040099 · Cited by 2
BKA with TMR Are Changing the Options in Limb Salvage
Attinger, C. E., & Kleiber, G. M. (2022) · Springer eBooks · doi:10.1007/978-981-16-9816-3_10 · Cited by 2
Riccio-Ackerman, F., Chicos, L., & Herrera-Arcos, G. (2023) · MIT Science Policy Review · doi:10.38105/spr.4ffmn3soar · Cited by 2
Astrocyte-secreted glypican-4 drives APOE4-dependent tau pathologyPreprint
Saroja, S. R., Gorbachev, K., Julia, T. C. W., Goate, A., & Pereira, A. C. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.07.451493 · Cited by 3
Long-term upper-extremity prosthetic control using Regenerative Peripheral Nerve InterfacesPreprint
Vu, P. P., Vaskov, A. K., Lee, C., Jillala, R., Davis, A. J., Kung, T. A., Kemp, S. W. P., Gates, D. H., Chestek, C. A., & Cederna, P. S. (2022) · Research Square · doi:10.21203/rs.3.rs-1578680/v1 · Cited by 2
Self-citationCortical thickness changes precede high levels of amyloid by at least seven yearsPreprint
Roe, J. M., Jagust, W., Landau, S. M., Harrison, T. M., Grydeland, H., Slivka, M., Warren, J. L. A., Garrido, P. F., Sørensen, Ø., Grødem, E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.14.670398 · Cited by 2
Satkunabalan, M., Tay, J. Q., & Ng, Z. Y. (2024) · European Journal of Plastic Surgery · doi:10.1007/s00238-024-02225-x · Cited by 1
Clinical Overview of EMG Control for Upper Limb Prosthetic Devices
Farley, J., & Stark, G. E. (2025) · Current Physical Medicine and Rehabilitation Reports · doi:10.1007/s40141-025-00496-4 · Cited by 1
“In an effort to provide more independent control sites and improve the quality of the myoelectric signal, researchers at the University of Michigan developed the Regenerative Peripheral Nerve Interface (RPNI) [26–29].”
The Cutting Edge of Peripheral Nerve Surgery: A Look at Emerging Techniques
Garozzo, D., Llorian, E., Henriques, V. M., Sanches, G. E., Torrão, F., & Guedes, F. (2025) · Springer eBooks · doi:10.1007/978-3-031-92445-3_6 · Cited by 1
Kulkarni, A., Chao, J. A. K., Fried, A., & Shah, A. (2025) · The Journal Of Hand Surgery · doi:10.1016/j.jhsa.2025.07.024 · Cited by 1
Wang, M. J., Kung, T. A., Kemp, S. W. P., & Cederna, P. S. (2025) · Journal of Plastic Reconstructive & Aesthetic Surgery · doi:10.1016/j.bjps.2025.08.040 · Cited by 1
Self-citation
Metadata
- Authors
- Vu, P. P., Vaskov, A. K., Irwin, Z. T., Henning, P. T., Lueders, D. R., Laidlaw, A. T., Davis, A. J., Nu, C. S., Gates, D. H., Gillespie, R. B., Kemp, S. W. P., Kung, T. A., Chestek, C. A., & Cederna, P. S.
- Affiliations
- University of Michigan (US)
- Michigan Medicine (US)
- Corresponding author
- Chestek, Cynthia A.
- Cederna, Paul S.
- ORCID
- Venue
- Science Translational Medicine
- Published
- 2020-03-04
- Volume
- 12
- Issue
- 533
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- PMC
- PMC8082695
- OpenAlex
- W3009733360
- Cited by
- 291
- References
- 40
- Citations by year
- 2026: 33 · 2025: 47 · 2024: 53 · 2023: 48 · 2022: 56 · 2021: 36 · 2020: 18
- FWCI
- 18.09
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science Translational Medicine (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Defense Sciences Office, DARPA (N66001-16-1-4006)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Keywords
- regenerative peripheral nerve interface, peripheral nerve interfaces, upper limb amputees, prosthetic hand control, neuroprosthetics, bioamplification, functional reinnervation, electromyography, signal stability
- MeSH terms
- Amputees, Artificial Limbs, Electromyography, Hand, Humans, Peripheral Nerves, Upper Extremity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
A language model drew the claims from the paper on 2026-09-28, under version 3 of the claim definition (prompt extract-v3).
A second model labelled each claim on 2026-09-28 (model jev-1.13-20260917, definition revision gold-guideline-v0.2).
Cited sources are checked with a language model’s help (gpt-6-sol).
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
