Vol 22, No 1 (2018) > Electrical and Electronics Engineering >

Hybrid Brain-Computer Interface: a Novel Method on the Integration of EEG and sEMG Signal for Active Prosthetic Control

Reza Darmakusuma 1 , Ary Setijadi Prihatmanto 1 , Adi Indrayanto 1 , Tati Latifah Mengko 1

Affiliations:

  1. Electrical Engineering, School of Electrical Engineering and Informatics, Institut Teknologi Bandung, Bandung 40132, Indonesia

 

Abstract: This paper describes
the novel method for controlling active prosthetics by integrating the surface electromyography
(sEMG) and electroencephalograph (EEG) signal in order to improve the
intuitiveness. Besides that, in the paper compares also the novel method (ALT)
with other existing methods, including the method by using EEG or sEMG signal
only. Based on calculation or simulation, the ALT method has high accuracy in
detecting movement intention with low false detection in condition where no
movement intention (rest) in order to control active prosthetics which is equal
with controlling active prosthetics based on sEMG signal. But, although the accuracy
of ALT method same with the method based on sEMG signal only, the ALT method
has advantages in the possibilities for moving the active prosthetics faster
than before in order to reduce its total time response.
Keywords: active prosthetic, AND method, electroencephalography (EEG), intuitive, OR method, RTA-2 method, surface electromyography (sEMG)
Published at: Vol 22, No 1 (2018) pages: 28-36
DOI:

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