Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review

Background Hand rehabilitation is core to helping stroke survivors regain activities of daily living. Recent studies have suggested that the use of electroencephalography-based brain-computer interfaces (BCI) can promote this process. Here, we report the first systematic examination of the literatur...

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Veröffentlicht in:	Journal of neuroengineering and rehabilitation Jg. 18; H. 1; S. 15 - 25
Hauptverfasser:	Baniqued, Paul Dominick E., Stanyer, Emily C., Awais, Muhammad, Alazmani, Ali, Jackson, Andrew E., Mon-Williams, Mark A., Mushtaq, Faisal, Holt, Raymond J.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London BioMed Central 23.01.2021 BioMed Central Ltd Springer Nature B.V BMC
Schlagworte:	Activities of daily living Automation Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Brain research Brain–computer interface Care and treatment Discriminant analysis Display devices EEG Electroencephalography Feedback Hand Hand (anatomy) Heterogeneity Human-computer interface Imagery Interfaces Medical equipment Medical research Medicine, Experimental Mental task performance Motor imagery Motor skill Neural networks Neurology Neurosciences Patients Physiology Rehabilitation Rehabilitation Medicine Rehabilitation technology Review Robot control Robotics Robots Signal processing Statistical analysis Stroke Stroke patients Systematic review Therapists Therapy Wavelet transforms United Kingdom Stroke Motor imagery Rehabilitation EEG Robotics Brain–computer interface
ISSN:	1743-0003, 1743-0003
Online-Zugang:	Volltext
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