New features for scanned bioelectrical activity of motor unit in health and disease.

N. Tugrul Artug,Imran Goker,Bülent Bolat,Onur Osman,Elif Kocasoy Orhan,M. Baris Baslo

Biomedical Signal Processing and Control（2018）

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摘要

•7 features were extracted from biological scanning EMG signals.•The power ratio feature is helpful to differentiate the neuromuscular diseases.•The autocorrelation function is effective on determining the activity corridor.•The best classification accuracy for biological signals was obtained as 85% using MLP.

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关键词

Electromyography,Scanning EMG,Neuromuscular disease,Feature extraction,Motor unit action potential,EMG simulator

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