International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

EEG and EMG based BCI System - A Review

Abstract

The analysis of Electromyography (EMG) signal is one of the effective determinants for the valuable prosthetic devices. Now a day various techniques have been proposed by the researchers for detecting the different hand movements and postures. Ideally, one would observe neural activity, extract signatures of movement intention, and use that as a trigger to provide assisted movement, the contingent feedback, and reward. This is the rationale behind any neuro-rehabilitation approach using restorative BCI (Brain Computer Interface). Recent researches combines Electroencephalogram (EEG) and EMG signals using the spectral power correlation (SPC) to create a hybrid BCI device for controlling a hand exoskeleton. This paper portrays the layout of various physiological signals and reviews the Electromyography (EMG) and Electroencephalography involvement in brain computer interfaces. This paper reviews various research challenges in EMG that booms in the medical era.

Country : India

1 Seeni Mohamed Aliar Maraikkayar S M2 Tamilselvi R3 Parisa beham M4 Sabah Afroze A

  1. Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamilnadu, India
  2. Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamilnadu, India
  3. Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamilnadu, India
  4. Department of ECE, Sethu Institute of Technology, Virudhunagar, Tamilnadu, India

IRJIET, Volume 3, Issue 9, September 2019 pp. 17-22

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