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

Research output: Contribution to journal › Review › Research › peer-review

Standard

Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation : From designing to application. / Khan, Muhammad Ahmed; Das, Rig; Iversen, Helle K.; Puthusserypady, Sadasivan.

In: Computers in Biology and Medicine, Vol. 123, 103843, 2020.

Research output: Contribution to journal › Review › Research › peer-review

Harvard

Khan, MA, Das, R, Iversen, HK & Puthusserypady, S 2020, 'Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application', Computers in Biology and Medicine, vol. 123, 103843. https://doi.org/10.1016/j.compbiomed.2020.103843

APA

Khan, M. A., Das, R., Iversen, H. K., & Puthusserypady, S. (2020). Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. Computers in Biology and Medicine, 123, [103843]. https://doi.org/10.1016/j.compbiomed.2020.103843

Vancouver

Khan MA, Das R, Iversen HK, Puthusserypady S. Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application. Computers in Biology and Medicine. 2020;123. 103843. https://doi.org/10.1016/j.compbiomed.2020.103843

Author

Khan, Muhammad Ahmed ; Das, Rig ; Iversen, Helle K. ; Puthusserypady, Sadasivan. / Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation : From designing to application. In: Computers in Biology and Medicine. 2020 ; Vol. 123.

Bibtex

@article{5d49c7d42b6e4af69ae4ac51e4c7669c,
title = "Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation: From designing to application",
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.",
keywords = "Brain-computer interface (BCI), Electric stimulation, Motor imagery (MI), Neurorehabilitation devices, Robotic assistance, Stroke, Virtual reality",
author = "Khan, {Muhammad Ahmed} and Rig Das and Iversen, {Helle K.} and Sadasivan Puthusserypady",
year = "2020",
doi = "10.1016/j.compbiomed.2020.103843",
language = "English",
volume = "123",
journal = "Computers in Biology and Medicine",
issn = "0010-4825",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Review on motor imagery based BCI systems for upper limb post-stroke neurorehabilitation

T2 - From designing to application

AU - Khan, Muhammad Ahmed

AU - Das, Rig

AU - Iversen, Helle K.

AU - Puthusserypady, Sadasivan

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

KW - Brain-computer interface (BCI)

KW - Electric stimulation

KW - Motor imagery (MI)

KW - Neurorehabilitation devices

KW - Robotic assistance

KW - Stroke

KW - Virtual reality

U2 - 10.1016/j.compbiomed.2020.103843

DO - 10.1016/j.compbiomed.2020.103843

M3 - Review

C2 - 32768038

AN - SCOPUS:85087926764

VL - 123

JO - Computers in Biology and Medicine

JF - Computers in Biology and Medicine

SN - 0010-4825

M1 - 103843

ER -

ID: 260245436