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http://dx.doi.org/10.9766/KIMST.2017.20.1.119

Analysis on Electromyogram(EMG) Signals by Body Parts for G-induced Loss of Consciousness(G-LOC) Prediction  

Kim, Sungho (Department of Systems Engineering, Air Force Academy)
Kim, Dongsoo (Department of Basic Science, Air Force Academy)
Cho, Taehwan (Department of Electronics and Communications Engineering, Air Force Academy)
Lee, Yongkyun (Department of Basic Science, Air Force Academy)
Choi, Booyong (Department of Basic Science, Air Force Academy)
Publication Information
Journal of the Korea Institute of Military Science and Technology / v.20, no.1, 2017 , pp. 119-128 More about this Journal
Abstract
G-induced Loss of Consciousness(G-LOC) can be predicted by measuring Electromyogram(EMG) signals. Existing studies have mainly focused on specific body parts and lacked of consideration with quantitative EMG indices. The purpose of this study is to analyze the indices of EMG signals by human body parts for monitoring G-LOC condition. The data of seven EMG features such as Root Mean Square(RMS), Integrated Absolute Value(IAV), and Mean Absolute Value(MAV) for reflecting muscle contraction and Slope Sign Changes(SSC), Waveform Length (WL), Zero Crossing(ZC), and Median Frequency(MF) for representing muscle contraction and fatigue was retrieved from high G-training on a human centrifuge simulator. A total of 19 trainees out of 47 trainees of the Korean Air Force fell into G-LOC condition during the training in attaching EMG sensor to three body parts(neck, abdomen, calf). IAV, MAV, WL, and ZC under condition after G-LOC were decreased by 17 %, 17 %, 18 %, and 4 % comparing to those under condition before G-LOC respectively. Also, RMS, IAV, MAV, and WL in neck part under condition after G-LOC were higher than those under condition before G-LOC; while, those in abdomen and calf part lower. This study suggest that measurement of IAV and WL by attaching EMG sensor to calf part may be optimal for predicting G-LOC.
Keywords
G-induced Loss of Consciousness; Electromyogram Signals; Integrated Absolute Value; Waveform Length;
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