Brain–computer interface robotics for hand rehabilitation after stroke: a systematic review
Abstract 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...
Main Authors: | Paul Dominick E. Baniqued, Emily C. Stanyer, Muhammad Awais, Ali Alazmani, Andrew E. Jackson, Mark A. Mon-Williams, Faisal Mushtaq, Raymond J. Holt |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-01-01
|
Series: | Journal of NeuroEngineering and Rehabilitation |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12984-021-00820-8 |
Similar Items
-
Upper extremity training followed by lower extremity training with a brain-computer interface rehabilitation system
by: Sebastian Sieghartsleitner, et al.
Published: (2024-03-01) -
Virtual reality and motor imagery for early post-stroke rehabilitation
by: Chi S. Choy, et al.
Published: (2023-07-01) -
Post-stroke Rehabilitation Training with a Motor-Imagery-Based Brain-Computer Interface (BCI)-Controlled Hand Exoskeleton: A Randomized Controlled Multicenter Trial
by: Alexander A. Frolov, et al.
Published: (2017-07-01) -
Evaluation of EEG Headset Mounting for Brain-Computer Interface-Based Stroke Rehabilitation by Patients, Therapists, and Relatives
by: Mads Jochumsen, et al.
Published: (2020-02-01) -
An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
by: Sotirios Papadopoulos, et al.
Published: (2022-01-01)