Publication: The Usage of Constrained Independent Component Analysis to Reduce Electrode Displacement Effects in Real-Time Surface Electromyography-Based Hand Gesture Classifications
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Date
2022-12-01
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Abstract
Aim: In real-time control of prosthesis, orthosis, and human–computer interface applications,
the displacement of surface electrodes may cause a total disruption or a decline in the
classification rates. In this study, a constrained independent component analysis (cICA) was
used as an alternative method for addressing the displacement problem of surface electrodes.
Materials and Methods: The study was tested by classifying six‑hand gestures offline and in
real‑time to control a robotic arm. The robotic arm has five degrees of freedom, and it was controlled
using surface electromyography (sEMG) signals. The classification of sEMG signals is realized using
artificial neural networks. cICA algorithm was utilized to improve the performance of classifiers
due to the negative effect of electrode displacement issues. Results: In the study, the classification
results of the cICA applied and unapplied sEMG signals were compared. The results showed that
the proposed method has provided an increase between 4% and 13% in classifications. The average
classification rates for six different hand gestures were calculated as 96.66%. Conclusions: The study
showed that the cICA method enhances classification rates while minimizing the impact of electrode
displacement. The other advantage of the cICA algorithm is dimension reduction, which is important
in real time applications. To observe the performance of the cICA in the real-time application, a
robotic arm was controlled using sEMG signals.
Keywords: Classifier, constrained independent component analysis, electrode, surface
electromyography
Description
Keywords
Classifier, constrained independent component analysis, electrode, surface electromyography
Citation
BAŞPINAR U., Taştan Y., VAROL H. S., "The Usage of Constrained Independent Component Analysis to Reduce Electrode Displacement Effects in Real-Time Surface Electromyography-Based Hand Gesture Classifications", The Journal of Neurobehavioral Sciences, cilt.9, sa.3, ss.107-113, 2022