Cited by 41Stroke Rehabilitation and RecoveryEEG and Brain-Computer InterfacesProsthetics and Rehabilitation Robotics

A review on EMG/EEG based control scheme of upper limb rehabilitation robots for stroke patients

Open access
Sarhan, Saad M., Al-Faiz, Mohammed Z., Takhakh, Ayad M.·2023·Heliyon

Abstract

Stroke is a common worldwide health problem and a crucial contributor to gained disability. The abilities of people, who are subjected to stroke, to live independently are significantly affected since affected upper limbs' functions are essential for our daily life. This review article focuses on emerging trends in BCI-controlled rehabilitation techniques based on EMG, EEG, or EGM + EEG signals in the last few years. Working on developing rehabilitation robotics, is considered a wealthy scientific area for researchers in the last period. There is a significant advantage that the human acquires from the interaction between the machine and his body, rehabilitation for a patient's limb is very important to get the body limb recovery, and this is what is provided mostly by applying robotic devices.

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Crossref · 10.1016/j.heliyon.2023.e18308

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  • Integrating advanced sensors enables real-time capture of user motion data and physiological signals such as joint angles, acceleration, EMG, ECG, and EEG, providing high-quality and diverse raw data support for HMIP.

    “Integrating advanced sensors enable real-time capture of user motion data and physiological signals such as joint angles 1,2 , acceleration 3,4 , electromyography (EMG) [5][6][7] , electrocardiography (ECG) 8,9 , and electroencephalography (EEG) 10 , providing high-quality and diverse raw data support for HMIP.”

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  1. [38]Comon P. Jutten C. Handbook of Blind Source Separation: Independent Component Analysis and Blind Deconvolution 2010 Academic Press/Elsevier Oxford

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Authors
Sarhan, S. M., Al-Faiz, M. Z., & Takhakh, A. M.
Affiliations
Nahrain University (IQ)
Corresponding author
Sarhan, Saad M.
Venue
Heliyon
Publisher
Elsevier BV
Published
2023-08
Volume
9
Issue
8
Pages
e18308
ISSN
2405-8440 (ISSN-L)
OpenAlex
W4384937776
Cited by
41
References
92
Citations by year
2026: 16 · 2025: 18 · 2024: 7
FWCI
1.39
Type
journal article
Language
en
Open access
Locations
  • Heliyon (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Topics
  • Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Physical Sciences › Engineering › Biomedical Engineering › Prosthetics and Rehabilitation Robotics
Keywords
stroke rehabilitation, upper limb rehabilitation robot, brain-computer interface, electromyography, EEG, electroglottography, motor recovery, rehabilitation robotics

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