The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Brain oscillations control hand orthosis in a tetraplegic
Abstract
The aim of the present study was to investigate whether self-induced brain potential changes could be useful as control signals for patients with severe motor impairment, i.e. due to high-level spinal cord injury. The pilot project was performed in a tetraplegic patient (T.S.), whose residual muscle activity of the upper limbs is restricted to the left biceps. To restore the hand grasp function, an electrical driven hand orthosis fitting his left hand was developed. The operation of this device is directly based on the bioelectrical signals of the brain. After some months of training, T. S. has learned to operate the hand orthosis by mental imagination of specific motor commands.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“Notwithstanding a few exceptions of longitudinal and translational studies in which thorough neuroimaging evidence is also provided [9,42], the extent and impact of subject learning effects in noninvasive MI BCI training remain rather disputable.”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [9]
In the citing paper
“These works report on longitudinal training and involve end-users.”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [9]
In the citing paper
“Better performance could be due to decoder recalibration [29], re-parameterizations of the BCI, and the application and adoption of better mental strategies [9,64,65], among other factors.”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [9]
In the citing paper
“Secondly, other training studies claim learnability in BCIs only on the grounds of improved online classification accuracy [9,27,30,31,33,35,51] or application performances [36,37].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [9]
In the citing paper
“The most complete evidence of subject learning with obvious translational implications is offered in [9], [10], and [42].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [9]
In the citing paper
“No apparent “breakthroughs” are evident, which could support the only likely alternative hypothesis, that of the employment of better mental strategies sparking immediate, rather than gradual, improvements [9,64].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [9]
Citations
Cites
A spelling device for the paralysed
Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577
Motor imagery activates primary sensorimotor area in humans
Pfurtscheller, G., & Neuper, C. (1997) · Neuroscience Letters · doi:10.1016/s0304-3940(97)00889-6 · Cited by 1,052
Self-citationModulation of Cortical Motor Output Maps During Development of Implicit and Explicit Knowledge
Pascual‐Leone, Á., Grafman, J. H., & Hallett, M. (1994) · Science · doi:10.1126/science.8122113 · Cited by 745
Pfurtscheller, G., Neuper, C., Schlögl, A., & Lugger, K. (1998) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.712230 · Cited by 553
Self-citationMultichannel EEG-based brain-computer communication
Wolpaw, J. R., & McFarland, D. J. (1994) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(94)90135-x · Cited by 449
A selective imaging of tinnitus
Giraud, A., Chéry-Croze, S., Fischer, G., Fischer, C., Vighetto, A., Grégoire, M.-C., Lavenne, F., & Collet, L. (1999) · Neuroreport · doi:10.1097/00001756-199901180-00001 · Cited by 341
Rapid prototyping of an EEG-based brain-computer interface (BCI)
Guger, C., Schlögl, A., Neuper, C., Walterspacher, D., Strein, T., & Pfurtscheller, G. (2001) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/7333.918276 · Cited by 312
Self-citationEnhancement of Left-Right Sensorimotor EEG Differences During Feedback-Regulated Motor Imagery
Neuper, C., Schlögl, A., & Pfurtscheller, G. (1999) · Journal of Clinical Neurophysiology · doi:10.1097/00004691-199907000-00010 · Cited by 225
Self-citationChanges in motor cortical activity during visuomotor adaptation
Wise, S. P., Moody, S. L., Blomstrom, K. J., & Mitz, A. R. (1998) · Experimental Brain Research · doi:10.1007/s002210050462 · Cited by 184
EEG-based control of a hand grasp neuroprosthesis
Lauer, R. T., Peckham, P. H., & Kilgore, K. L. (1999) · Neuroreport · doi:10.1097/00001756-199906030-00026 · Cited by 106
Cited by
Sorted by citations
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Self-citationBCI2000: A General-Purpose Brain-Computer Interface (BCI) System
Schalk, G., McFarland, D. J., Hinterberger, T., Birbaumer, N., & Wolpaw, J. R. (2004) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.827072 · Cited by 3,129
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143
Motor imagery and direct brain-computer communication
Pfurtscheller, G., & Neuper, C. (2001) · Proceedings of the IEEE · doi:10.1109/5.939829 · Cited by 1,990
Self-citationBrain–computer interfaces for communication and rehabilitation
Chaudhary, U., Birbaumer, N., & Ramos-Murguialday, A. (2016) · Nature Reviews Neurology · doi:10.1038/nrneurol.2016.113 · Cited by 928
Metadata
- Authors
- Pfurtscheller, G., Guger, C., Müller, G., Krausz, G., & Neuper, C.
- Affiliations
- Graz University of Technology (AT)
- Corresponding author
- Pfurtscheller, G
- ORCID
- Neuper, C
- Venue
- Neuroscience Letters
- Publisher
- Elsevier BV
- Published
- 2000-10
- Volume
- 292
- Issue
- 3
- Pages
- 211-214
- ISSN
- 0304-3940 (ISSN-L)
- OpenAlex
- W2004092686
- Cited by
- 472
- References
- 10
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 14 · 2023: 13 · 2022: 15 · 2021: 22 · 2020: 17 · 2019: 18 · 2018: 25 · 2017: 25 · 2016: 24 · 2015: 29 · 2014: 28 · 2013: 32 · 2012: 22
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience Letters (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Keywords
- neural oscillations, hand orthoses, tetraplegia, high spinal cord injury, motor imagery
- MeSH terms
- Adult, Brain, Electroencephalography, Hand, Humans, Male, Orthotic Devices, Pilot Projects, Quadriplegia, Robotics, Self-Help Devices, Signal Processing, Computer-Assisted, Treatment Outcome, Hand Strength
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
