Neuromuscular Disease Detection Employing Deep Feature Extraction from Cross Spectrum Images of Electromyography Signals

Kaniska Samanta, Sayanjit Singha Roy, Sudip Modak, Soumya Chatterjee, Rohit Bose

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, a deep learning framework for detection and classification of EMG signals for diagnosis of neuromuscular disorders is proposed employing cross wavelet transform. Cross wavelet transform which is a modification of continuous wavelet transform is an important tool to analyze any non-stationary signal in time scale and in time-frequency frame. To this end, EMG signals of healthy, myopathy and Amyotrophic lateral sclerosis disorders were procured from an online existing database. A healthy EMG signal was chosen as reference and cross wavelet transform of the rest of the healthy as well as the disease EMG signals was done with the reference. From the resulting cross wavelet spectrum images of EMG signals, a convolution neural network (CNN) based automated deep feature extraction technique was implemented. The extracted deep features were further subjected to feature ranking employing one way analysis of variance (ANOVA) test. The extracted deep features with high degree of statistical significance were fed to several benchmark machine learning classifiers for the purpose of discrimination of EMG signals. Two binary classification problems are addressed in this paper and it has been observed that the highest mean classification accuracy of 100% is achieved using the statistically significant extracted deep features. The proposed method can be implemented for real-time detection of neuromuscular disorders.
Original languageEnglish
Title of host publication2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
DOIs
Publication statusPublished (in print/issue) - 27 Aug 2020
Event2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) - Montreal, QC, Canada, Montreal, Canada
Duration: 20 Jul 202024 Jul 2020
Conference number: 42

Conference

Conference2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
Abbreviated titleEMBC2020
Country/TerritoryCanada
CityMontreal
Period20/07/2024/07/20

Keywords

  • Convolution neural network
  • classification
  • cross-wavelet transform adn electromyography

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