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

• Published in: Journal of neuroengineering and rehabilitation Vol. 18; no. 1; pp. 15 - 25
• Main Authors: 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
• Language: English
• Published: England BioMed Central Ltd 23.01.2021; BioMed Central; BMC
• Subjects: Activities of daily living; Automation; 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; Patients; Physiology; Rehabilitation; 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

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 literature on the us...