3rd Asia Pacific International Conference on Industrial Engineering and Operations Management

Utilization of EMG Signals Using Bitalino for Post Stroke Patients in Mapping Characteristics of Flexor Carpi Radialis Muscle

Agung Pamungkas, Lobes Herdiman & Susy Susmartini
Publisher: IEOM Society International
0 Paper Citations
Track: Occupational Safety and Health (OSH)

EMG signal strength measured using Bitalino on the flexor carpi radialis muscle showed that post-stroke patients has lower EMG signal strength levels than normal individuals. The time domain extraction feature provides information on the average strength of the flexor carpi radialis muscle EMG signal in post-stroke patients as follows, IEMG of 8,678 microvolts, MAV of 4,338 microvolts, SSI of 16,465 microvolts, VAR of 82,327 microvolts, RMS of 8,515 microvolts, WL of 592,203 microvolts. The frequency domain extraction features include MNF of 0.064 microvolts and MDF of 0.027 microvolts. A stronger grip strength tends to produce a more significant EMG signal. This study provides a mapping of a large gap between the EMG signal strength of post-stroke patients and normal individuals that can be used as a reference for therapists in providing rehabilitation for post-stroke patients. EMG signals store important information regarding muscle condition, so signal recording and processing are crucial. This study utilizes Bitalino, which records EMG activity in muscles reliably and precisely. Matlab software is very reliable used for filtering, rectification, and smoothing. Bandpass filters with cut-off frequencies below 50 Hz and above 600 Hz are used. Smoothing uses Savitz-Golay statistics to obtain a more precise signal.

Published in: 3rd Asia Pacific International Conference on Industrial Engineering and Operations Management, Johor Bahru, Malaysia

Publisher: IEOM Society International
Date of Conference: September 13-15, 2022

ISBN: 978-1-7923-9162-0
ISSN/E-ISSN: 2169-8767