Detail publikace

Detection of neuro mascular disease using EMG signals in wavelet domain

SENGAR, N. DUTTA, M. BURGET, R.

Originální název

Detection of neuro mascular disease using EMG signals in wavelet domain

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Neuromuscular disorders affects the nerves which impairs the function of muscles. EMG signals are used to diagnose the different neuromuscular diseases. In this proposed method neuromuscular disease is detected by using different features in wavelet domain by using continuous wavelet transform and according to p-value score most discriminatory features were selected. Some features of EMG signals such as maximum amplitude and mean of amplitude, root mean square value are strategically quantified and classified by using support vector machine (SVM) classifier to automate the diagnosis of amyotrophic lateral sclerosis disease. The proposed method tested on EMG database created under EMG Lab, United States and results are encouraging which gives accuracy of 93.75%.

Klíčová slova

Electromyography; Diseases; Support vector machines; Neuromuscular; Continuous wavelet transforms

Autoři

SENGAR, N.; DUTTA, M.; BURGET, R.;

Vydáno

26. 10. 2017

Nakladatel

IEEE

Místo

Mathura, India, India

ISBN

978-1-5386-3004-4

Kniha

2017 IEEE Uttar Pradesh Section International Conference on Electrical

Strany od

624

Strany do

627

Strany počet

4

URL

https://ieeexplore.ieee.org/document/8251121

BibTex

@inproceedings{BUT144120,
  author="SENGAR, N. and DUTTA, M. and BURGET, R.",
  title="Detection of neuro mascular disease using EMG signals in wavelet domain",
  booktitle="2017 IEEE Uttar Pradesh Section International Conference on Electrical",
  year="2017",
  pages="624--627",
  publisher="IEEE",
  address="Mathura, India, India",
  doi="10.1109/UPCON.2017.8251121",
  isbn="978-1-5386-3004-4",
  url="https://ieeexplore.ieee.org/document/8251121"
}