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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.
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“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]
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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
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