Title: Detection of abnormal electromyograms employing DWT-based amplitude envelope analysis using Teager energy operator

Authors: Sayanjit Singha Roy; Debangshu Dey; Anwesha Karmakar; Ankita Singha Roy; Kumar Ashutosh; Niladri Ray Choudhury

Addresses: Department of Electrical Engineering, Techno India University, Kolkata, India ' Electrical Engineering Department, Calcutta Institute of Engineering and Management, Kolkata-700040, West Bengal, India ' Electrical Engineering Department, Calcutta Institute of Engineering and Management, Kolkata-700040, West Bengal, India ' Electrical Engineering Department, Calcutta Institute of Engineering and Management, Kolkata-700040, West Bengal, India ' Electrical Engineering Department, Calcutta Institute of Engineering and Management, Kolkata-700040, West Bengal, India ' Electrical Engineering Department, Calcutta Institute of Engineering and Management, Kolkata-700040, West Bengal, India

Abstract: In this contribution, detection and classification of healthy, myopathy and neuropathy electromyograms employing a novel discrete wavelet transform-based amplitude envelope analysis is proposed. Electromyograms of healthy, myopathy and neuropathy categories are initially decomposed into several frequency bands with the help of discrete wavelet transform-based multi resolution analysis. Following this, instead of using Hilbert transform, a novel technique for amplitude envelope extraction from different decomposed frequency sub-bands was performed using discrete energy separation algorithm implementing Teager energy operator. Three distinct features were extracted from the amplitude envelopes of each sub-band and analysis of variance (ANOVA) test was performed to substantiate their statistical significance. The extracted features were finally fed as input to the employed support vector machines classifier to classify different categories of electromyography signals. It was observed that 100% classification accuracy is obtained in this work, which is found to outperform the existing methods studied on the same database.

Keywords: classification; electromyograms; envelope analysis; support vector machines; Teager energy operator.

DOI: 10.1504/IJBET.2022.126493

International Journal of Biomedical Engineering and Technology, 2022 Vol.40 No.3, pp.224 - 240

Received: 03 Apr 2019
Accepted: 16 Apr 2020
Published online: 27 Oct 2022 *

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