Affiliations: [a] Thapar University, Patiala, Punjab, India | [b] Biomedical Instrumentation Unit, CSIR-CSIO, Sector-30 C, Chandigarh, India
Correspondence:
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Corresponding author: Amanpreet Kaur, Thapar University, #23 St. no. 5, Guru Nanak Nagar, Sirhind Road, Patiala 147001, Punjab, India. Tel.: +91 9855014327; E-mail: [email protected].
Abstract: Background:Worldwide, about 56% of the amputees are upper limb amputees. This research deals a method with two-channel surface electromyogram (SEMG) signal recorded from around shoulder to estimate the changes in muscle activity in non-amputee and the residual limb of trans humeral amputees with different movements of arm. Objective:Identification of different muscles activity of near shoulder amputee and non-amputee persons. Methods:SEMG signal were acquired during three distinct exercises from three-selected muscles location around shoulder. The participants were asked to move their dominant arm from an assigned position to record their muscles activity recorded with change in position. Results:Results shows the muscles activity in scalene is more than the other muscles like pectoralis and infraspinatus with the same shoulder motion. In addition, STFT (Short-Time Fourier Transform) spectrogram with window length of 256 samples at maximum of 512 frequency bins using hamming window has used to identify the signal for the maximum muscles activity with best resolution in spectrum plot. Conclusions:The results suggest that one can use this analysis for making a suitable device for around shoulder prosthetic users based on muscles activation of amputee persons.
Keywords: Around shoulder prosthetic, STFT spectrogram, surface myoelectric signal, shoulder movement
