Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain
Open accessAbstract
A multilayered e-dermis allows a prosthesis and an amputee to perceive a range of innocuous and noxious tactile stimuli.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Inaccurate communication channels in medical robotics go against visual cues, leading to cognitive confusion, which is the number one reason why 40% of amputees reject wearing a prosthetic device.
“The problem with inaccurate communication channels in medical robotics is that it goes against visual cues from the user leading to cognitive confusion,[428] which is the number one reason why 40% of amputees reject wearing a prosthetic device.[19]”
From Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics (2022) · cites this paper as [428]
The citation to this paper follows the claim that cognitive confusion is the leading reason 40% of amputees reject prostheses. The Introduction discusses the lack of sensory feedback, and Materials and Methods describes experiments with one amputee, but neither reports a rejection rate or identifies cognitive confusion as a reason for rejection (searched: 40%, rejection, abandonment, visual cues). (LLM, conf=0.78)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Simple model of spiking neurons
Izhikevich, E. M. (2003) · IEEE Transactions on Neural Networks · doi:10.1109/tnn.2003.820440 · Cited by 4,828 · see citing works
Central sensitization: a generator of pain hypersensitivity by central neural plasticity
Latremoliere, A., & Woolf, C. J. (2009) · The Journal of Pain · doi:10.1016/j.jpain.2009.06.012 · Cited by 3,913 · see citing works
Coding and use of tactile signals from the fingertips in object manipulation tasks
Johansson, R. S., & Flanagan, J. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2621 · Cited by 2,063 · see citing works
Stretchable and Foldable Silicon Integrated Circuits
Kim, D., Ahn, J., Choi, W. M., Kim, H., Kim, T., Song, J., Huang, Y. Y., Liu, Z., Lu, C., & Rogers, J. A. (2008) · Science · doi:10.1126/science.1154367 · Cited by 1,680 · see citing works
Abraira, V. E., & Ginty, D. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.07.051 · Cited by 1,648 · see citing works
A highly stretchable autonomous self-healing elastomer
Li, C., Wang, C., Keplinger, C., Zuo, J., Jin, L., Sun, Y., Zheng, P., Cao, Y., Lissel, F., Linder, C., et al. (2016) · Nature Chemistry · doi:10.1038/nchem.2492 · Cited by 1,505 · see citing works
Stretchable silicon nanoribbon electronics for skin prosthesis
Kim, J., Lee, M., Shim, H. J., Ghaffari, R., Cho, H. R., Son, D., Jung, Y. H., Soh, M., Choi, C., Jung, S., et al. (2014) · Nature Communications · doi:10.1038/ncomms6747 · Cited by 1,435 · see citing works
Tee, B. C. K., Wang, C., Allen, R., & Bao, Z. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.192 · Cited by 1,422 · see citing works
Nociceptors: the sensors of the pain pathway
Dubin, A. E., & Patapoutian, A. (2010) · Journal of Clinical Investigation · doi:10.1172/jci42843 · Cited by 1,418 · see citing works
Highly stretchable electroluminescent skin for optical signaling and tactile sensing
Larson, C., Peele, B., Li, S., Robinson, S., Totaro, M., Beccai, L., Mazzolai, B., & Shepherd, R. (2016) · Science · doi:10.1126/science.aac5082 · Cited by 1,393 · see citing works
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 · see citing works
Optoelectronically innervated soft prosthetic hand via stretchable optical waveguides
Zhao, H., O’Brien, K., Li, S., & Shepherd, R. F. (2016) · Science Robotics · doi:10.1126/scirobotics.aai7529 · Cited by 982 · see citing works
(1984) · PubMed · Cited by 908 · see citing works
A skin-inspired organic digital mechanoreceptor
Tee, B. C.-K., Chortos, A., Berndt, A., Nguyen, A. K., Tom, A., McGuire, A., Lin, Z. C., Tien, K., Bae, W.-G., Wang, H., et al. (2015) · Science · doi:10.1126/science.aaa9306 · Cited by 882 · see citing works
A 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 · see citing works
Self-healing soft pneumatic robots
Terryn, S., Brancart, J., Lefeber, D., Assche, G. V., & Vanderborght, B. (2017) · Science Robotics · doi:10.1126/scirobotics.aan4268 · Cited by 537 · see citing works
Zou, Z., Zhu, C., Li, Y., Lei, X., Zhang, W., & Xiao, J. (2018) · Science Advances · doi:10.1126/sciadv.aaq0508 · Cited by 507 · see citing works
The Role of Fingerprints in the Coding of Tactile Information Probed with a Biomimetic Sensor
Scheibert, J., Leurent, S., Prevost, A. M., & Debrégeas, G. (2009) · Science · doi:10.1126/science.1166467 · Cited by 421 · see citing works
Farina, D., Vujaklija, I., Sartori, M., Kapelner, T., Negro, F., Jiang, N., Bergmeister, K., Andalib, A., Principe, J., & Aszmann, O. C. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-016-0025 · Cited by 359 · see citing works
Myelinated afferent fibres innervating the primate skin and their response to noxious stimuli
Perl, E. R. (1968) · The Journal of Physiology · doi:10.1113/jphysiol.1968.sp008576 · Cited by 333 · see citing works
Oddo, C. M., Raspopović, S., Artoni, F., Mazzoni, A., Spigler, G., Petrini, F. M., Giambattistelli, F., Vecchio, F., Miraglia, F., Zollo, L., et al. (2016) · eLife · doi:10.7554/elife.09148 · Cited by 328 · see citing works
Nociceptors: a phylogenetic view
Smith, E. S. J., & Lewin, G. R. (2009) · Journal of Comparative Physiology A · doi:10.1007/s00359-009-0482-z · Cited by 271 · see citing works
Simulating tactile signals from the whole hand with millisecond precision
Saal, H. P., Delhaye, B. P., Rayhaun, B. C., & Bensmaı̈a, S. J. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1704856114 · Cited by 263 · see citing works
The neural basis of perceived intensity in natural and artificial touch
Graczyk, E. L., Schiefer, M. A., Saal, H. P., Delhaye, B. P., Bensmaia, S. J., & Tyler, D. J. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf5187 · Cited by 258 · see citing works
The nociceptive flexion reflex in humans – review article
Skljarevski, V., & Ramadan, N. (2002) · Pain · doi:10.1016/s0304-3959(02)00018-0 · Cited by 246 · see citing works
Wendelken, S., Page, D. M., Davis, T., Wark, H. A. C., Kluger, D. T., Duncan, C., Warren, D. J., Hutchinson, D. T., & Clark, G. A. (2017) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-017-0320-4 · Cited by 216 · see citing works
Edge-orientation processing in first-order tactile neurons
Pruszynski, J. A., & Johansson, R. S. (2014) · Nature Neuroscience · doi:10.1038/nn.3804 · Cited by 207 · see citing works
A Self‐Powered Sensor Mimicking Slow‐ and Fast‐Adapting Cutaneous Mechanoreceptors
Chun, K., Son, Y. J., Jeon, E., Lee, S.-H., & Han, C. (2018) · Advanced Materials · doi:10.1002/adma.201706299 · Cited by 186 · see citing works
MYOCLONUS IN A PATIENT WITH SPINAL CORD TRANSECTION
Bussel, B., Roby-Brami, A., Azouvi, P., et al. (1988) · Brain · doi:10.1093/brain/111.5.1235 · Cited by 178 · see citing works
Chai, G., Sui, X., Li, S., He, L., & Lan, N. (2015) · Journal of Neural Engineering · doi:10.1088/1741-2560/12/6/066002 · Cited by 131 · see citing works
Nociceptive brain activity as a measure of analgesic efficacy in infants
Hartley, C., Duff, E. P., Green, G., Mellado, G. S., Worley, A., Rogers, R., & Slater, R. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aah6122 · Cited by 94 · see citing works
Neuromimetic Event-Based Detection for Closed-Loop Tactile Feedback Control of Upper Limb Prostheses
Osborn, L. E., Kaliki, R. R., Soares, A. B., & Thakor, N. V. (2016) · IEEE Transactions on Haptics · doi:10.1109/toh.2016.2564965 · Cited by 77 · see citing works
Self-citationSlip Speed Feedback for Grip Force Control
Damian, D. D., Arita, A. H., Martinez, H., & Pfeifer, R. (2012) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2012.2199491 · Cited by 56 · see citing works
Tactile feedback in upper limb prosthetic devices using flexible textile force sensors
Osborn, L. E., Lee, W. W., Kaliki, R. R., et al. (2014) · 2022 9th IEEE RAS/EMBS International Conference for Biomedical Robotics and Biomechatronics (BioRob) · doi:10.1109/biorob.2014.6913762 · Cited by 38 · see citing works
Self-citationA Fovea for Pain at the Fingertips
Mancini, F., Sambo, C. F., Ramirez, J. D., Bennett, D., Haggard, P., & Iannetti, G. D. (2013) · Current Biology · doi:10.1016/j.cub.2013.02.008 · Cited by 37 · see citing works
Serrao, M., Pierelli, F., Don, R., et al. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.5160-05.2006 · Cited by 37 · see citing works
Targeted transcutaneous electrical nerve stimulation for phantom limb sensory feedback
Osborn, L. E., Fifer, M. S., Moran, C. W., Betthauser, J., Armiger, R. S., Kaliki, R. R., & Thakor, N. V. (2017) · IEEE Biomedical Circuits and Systems Conference (BioCAS) · doi:10.1109/biocas.2017.8325200 · Cited by 37 · see citing works
Self-citationPower-Law Shaped Leading Edges in Rarefied Hypersonic Flow
Santos, W. F. N., & Lewis, M. J. (2002) · Journal of Spacecraft and Rockets · doi:10.2514/2.3899 · Cited by 23 · see citing works
Aerothermodynamic Performance Analysis of Hypersonic Flow on Power Law Leading Edges
Santos, W. F. N., & Lewis, M. J. (2005) · Journal of Spacecraft and Rockets · doi:10.2514/1.9550 · Cited by 16 · see citing works
Schalk, G., & Mellinger, J. (2010) · Springer eBooks · doi:10.1007/978-1-84996-092-2_2 · Cited by 16 · see citing works
Live demonstration: Prosthesis grip force modulation using neuromorphic tactile sensing
Osborn, L. E., Nguyen, H. H., Kaliki, R. R., et al. (2017) · IEEE International Symposium on Circuits and Systems proceedings · doi:10.1109/iscas.2017.8050718 · Cited by 8 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Yang, J. C., Mun, J., Kwon, S. Y., Park, S., Bao, Z., & Park, S. (2019) · Advanced Materials · doi:10.1002/adma.201904765 · Cited by 1,641 · see citing works
Learning the signatures of the human grasp using a scalable tactile glove
Sundaram, S., Kellnhofer, P., Li, Y., Zhu, J.-Y., Torralba, A., & Matusik, W. (2019) · Nature · doi:10.1038/s41586-019-1234-z · Cited by 1,162 · see citing works
Artificial multimodal receptors based on ion relaxation dynamics
You, I., Mackanic, D. G., Matsuhisa, N., Kang, J., Kwon, J., Beker, L., Mun, J., Suh, W., Kim, T. Y., Tok, J. B.-H., et al. (2020) · Science · doi:10.1126/science.aba5132 · Cited by 632 · see citing works
Flexible Electronics and Devices as Human–Machine Interfaces for Medical Robotics
Heng, W., Solomon, S., & Gao, W. (2022) · Advanced Materials · doi:10.1002/adma.202107902 · Cited by 609 · see citing works
Cutaneous Ionogel Mechanoreceptors for Soft Machines, Physiological Sensing, and Amputee Prostheses
Shen, Z., Zhu, X., Majidi, C., & Gu, G. (2021) · Advanced Materials · doi:10.1002/adma.202102069 · Cited by 291 · see citing works
Khoshmanesh, F., Thurgood, P., Pirogova, E., Nahavandi, S., & Baratchi, S. (2021) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112946 · Cited by 204 · see citing works
Yang, T., Kim, J. R., Jin, H., Gil, H., Koo, J., & Kim, H. J. (2021) · Advanced Functional Materials · doi:10.1002/adfm.202008831 · Cited by 178 · see citing works
Toward an AI Era: Advances in Electronic Skins
Fu, X., Cheng, W., Wan, G., Yang, Z., & Tee, B. C. K. (2024) · Chemical Reviews · doi:10.1021/acs.chemrev.4c00049 · Cited by 172 · see citing works
Lee, S., Shi, Q., & Lee, C. (2019) · APL Materials · doi:10.1063/1.5063498 · Cited by 164 · see citing works
The sense of agency in emerging technologies for human–computer integration: A review
Cornelio, P., Haggard, P., Hornbaek, K., Georgiou, O., Bergström, J., Subramanian, S., & Obrist, M. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2022.949138 · Cited by 75 · see citing works
Sensitivity to temporal parameters of intraneural tactile sensory feedback
Valle, G., Strauss, I., D’Anna, E., Granata, G., Di Iorio, R., Stieglitz, T., Rossini, P. M., Raspopovic, S., Petrini, F. M., & Micera, S. (2020) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-020-00737-8 · Cited by 20 · see citing works
Mechanism of peripheral nerve modulation and recent applications
Shin, H., Kang, M., & Lee, S. (2021) · International Journal of Optomechatronics · doi:10.1080/15599612.2021.1978601 · Cited by 9 · see citing works
- Authors
- Osborn, L. E., Dragomir, A., Betthauser, J. L., Hunt, C. L., Nguyen, H. H., Kaliki, R. R., & Thakor, N. V.
- Affiliations
- Johns Hopkins University (US)
- National University of Singapore (SG)
- Corresponding author
- Osborn, Luke E.
- Thakor, Nitish V.
- ORCID
- Venue
- Science Robotics
- Published
- 2018-06-20
- Volume
- 3
- Issue
- 19
- ISSN
- 2470-9476 (ISSN-L)
- PMC
- PMC7051004
- OpenAlex
- W2809670021
- Cited by
- 427
- References
- 41
- Citations by year
- 2026: 28 · 2025: 55 · 2024: 60 · 2023: 66 · 2022: 64 · 2021: 63 · 2020: 46 · 2019: 36 · 2018: 9
- FWCI
- 22.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Science Robotics (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (T32EB003383)
- Johns Hopkins University (Space@Hopkins)
- Johns Hopkins University Applied Physics Laboratory
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Keywords
- prosthetic hand, tactile perception, pain perception, transcutaneous electrical nerve stimulation, amputees, mechanoreceptors, nociceptors, phantom hand, EEG, somatosensory feedback, tactile feedback
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.
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
