Lower-Limb Electromyography Signal Analysis of Distinct Muscle Fitness Norms under Graded Exercise Intensity

Physical fitness is the overall ability of the body to adapt to the working environment and perform sporting and daily activities. The aim of this study was to analyze the correlation between muscle fitness and the electromyography (EMG) signals of lower limbs under varying exercise intensity. The s...

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Bibliographic Details
Published in:Electronics (Basel) 2020-12, Vol.9 (12), p.2147
Main Authors: Chen, Ching-Kun, Lin, Shyan-Lung, Wang, Tasi-Chu, Lin, Yu-Jie, Wu, Chieh-Liang
Format: Article
Language:English
Subjects:
Correlation analysis
Data analysis
Electrodes
Electromyography
Exercise intensity
Experiments
Feature extraction
Force
Frequency analysis
Frequency domain analysis
Indicators
Limbs
Medical research
Muscle contraction
Muscles
Norms
Physical fitness
Signal analysis
Signal processing
Statistical analysis
Time domain analysis
Weightlifting
Working conditions
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Summary:Physical fitness is the overall ability of the body to adapt to the working environment and perform sporting and daily activities. The aim of this study was to analyze the correlation between muscle fitness and the electromyography (EMG) signals of lower limbs under varying exercise intensity. The standing long jump was used as a test task for assessing the power of the lower limb muscles. Participants were university freshmen who belonged to the top 20%, middle 20%, and bottom 20% groups in terms of physical fitness norms. The EMG signals of the participants’ lower limbs while they performed squats were collected under four exercise intensities of repetitions maximum (RM): no load, 8RM, 18RM, and 28RM; the features of the signals were extracted using time-domain and frequency-domain analysis. Statistical analysis was also performed. The top and bottom groups exhibited significant differences time-domain indicators mean absolute value (MAV) and average amplitude change (AAC) in the low-intensity exercise (28RM). The MAV, variance of EMG (VAR), root mean square (RMS), and AAC were significantly different between the top and bottom groups in the three graded intensities (8RM, 18RM, and 28RM). The mean frequency (MNF) and median frequency (MDF), which are frequency-domain indicators, were significantly different between the top and bottom groups in the low-intensity (28RM) and moderate-intensity (18RM) exercises.
ISSN:2079-9292
2079-9292
DOI:10.3390/electronics9122147