Literature DB >> 32768038

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application.

Muhammad Ahmed Khan1, Rig Das2, Helle K Iversen3, Sadasivan Puthusserypady2.   

Abstract

Strokes are a growing cause of mortality and many stroke survivors suffer from motor impairment as well as other types of disabilities in their daily life activities. To treat these sequelae, motor imagery (MI) based brain-computer interface (BCI) systems have shown potential to serve as an effective neurorehabilitation tool for post-stroke rehabilitation therapy. In this review, different MI-BCI based strategies, including "Functional Electric Stimulation, Robotics Assistance and Hybrid Virtual Reality based Models," have been comprehensively reported for upper-limb neurorehabilitation. Each of these approaches have been presented to illustrate the in-depth advantages and challenges of the respective BCI systems. Additionally, the current state-of-the-art and main concerns regarding BCI based post-stroke neurorehabilitation devices have also been discussed. Finally, recommendations for future developments have been proposed while discussing the BCI neurorehabilitation systems.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Brain-computer interface (BCI); Electric stimulation; Motor imagery (MI); Neurorehabilitation devices; Robotic assistance; Stroke; Virtual reality

Mesh:

Year:  2020        PMID: 32768038     DOI: 10.1016/j.compbiomed.2020.103843

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  14 in total

1.  Brain Function and Upper Limb Deficit in Stroke With Motor Execution and Imagery: A Cross-Sectional Functional Magnetic Resonance Imaging Study.

Authors:  Zhen-Zhen Ma; Jia-Jia Wu; Xu-Yun Hua; Mou-Xiong Zheng; Xiang-Xin Xing; Jie Ma; Si-Si Li; Chun-Lei Shan; Jian-Guang Xu
Journal:  Front Neurosci       Date:  2022-05-19       Impact factor: 5.152

Review 2.  Discussion on the Rehabilitation of Stroke Hemiplegia Based on Interdisciplinary Combination of Medicine and Engineering.

Authors:  Xiaowei Sun; Ke Xu; Yuqing Shi; Hongtao Li; Ruobing Li; Siyu Yang; Hong Jin; Chuwen Feng; Baitao Li; Chunyue Xing; Yuanyuan Qu; Qingyong Wang; Yinghua Chen; Tiansong Yang
Journal:  Evid Based Complement Alternat Med       Date:  2021-03-17       Impact factor: 2.629

3.  A Multifrequency Brain Network-Based Deep Learning Framework for Motor Imagery Decoding.

Authors:  Juntao Xue; Feiyue Ren; Xinlin Sun; Miaomiao Yin; Jialing Wu; Chao Ma; Zhongke Gao
Journal:  Neural Plast       Date:  2020-12-07       Impact factor: 3.599

4.  The effect of visual and proprioceptive feedback on sensorimotor rhythms during BCI training.

Authors:  Hanna-Leena Halme; Lauri Parkkonen
Journal:  PLoS One       Date:  2022-02-23       Impact factor: 3.240

Review 5.  Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation.

Authors:  Jessica Gantenbein; Jan Dittli; Jan Thomas Meyer; Roger Gassert; Olivier Lambercy
Journal:  Front Neurorobot       Date:  2022-02-21       Impact factor: 2.650

Review 6.  Mind the gap: State-of-the-art technologies and applications for EEG-based brain-computer interfaces.

Authors:  Roberto Portillo-Lara; Bogachan Tahirbegi; Christopher A R Chapman; Josef A Goding; Rylie A Green
Journal:  APL Bioeng       Date:  2021-07-20

Review 7.  Challenges and Opportunities for the Future of Brain-Computer Interface in Neurorehabilitation.

Authors:  Colin Simon; David A E Bolton; Niamh C Kennedy; Surjo R Soekadar; Kathy L Ruddy
Journal:  Front Neurosci       Date:  2021-07-02       Impact factor: 4.677

8.  Success of Hand Movement Imagination Depends on Personality Traits, Brain Asymmetry, and Degree of Handedness.

Authors:  Elena V Bobrova; Varvara V Reshetnikova; Elena A Vershinina; Alexander A Grishin; Pavel D Bobrov; Alexander A Frolov; Yury P Gerasimenko
Journal:  Brain Sci       Date:  2021-06-25

Review 9.  Combination of Stem Cells and Rehabilitation Therapies for Ischemic Stroke.

Authors:  Reed Berlet; Stefan Anthony; Beverly Brooks; Zhen-Jie Wang; Nadia Sadanandan; Alex Shear; Blaise Cozene; Bella Gonzales-Portillo; Blake Parsons; Felipe Esparza Salazar; Alma R Lezama Toledo; Germán Rivera Monroy; Joaquín Vega Gonzales-Portillo; Cesario V Borlongan
Journal:  Biomolecules       Date:  2021-09-06

10.  Analyzing Classification Performance of fNIRS-BCI for Gait Rehabilitation Using Deep Neural Networks.

Authors:  Huma Hamid; Noman Naseer; Hammad Nazeer; Muhammad Jawad Khan; Rayyan Azam Khan; Umar Shahbaz Khan
Journal:  Sensors (Basel)       Date:  2022-03-01       Impact factor: 3.576

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