EMG Signal Analysis for Diagnosis of Hansen Disease using Neural Network

Authors

  • Manoj Singh Rajput Department of Electrical Engg., Nagaji Institute of Technology & Management, Gwalior (M.P.), India Author
  • Rameshwar Singh Department of Electrical Engg., Nagaji Institute of Technology & Management, Gwalior (M.P.), India Author
  • S.S. Dhakad Department of Electrical Engg., Nagaji Institute of Technology & Management, Gwalior (M.P.), India Author
  • A.S. Trivedi Department of Electrical Engg., Nagaji Institute of Technology & Management, Gwalior (M.P.), India Author

Keywords:

EMG signal, Hansen disease etc.

Abstract

Electromyography (EMG) provides useful information for diagnosis. This paper deals with a computer based expert system which has been developed for the diagnosis of HD using the features of EMG signal recorded from the disease site. In this study frequency domain parameters of the EMG signal and signal under both the healthy and leprosy conditions of the subjects for the disease diagnosis using an artificial neural network.

References

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Published

2014-08-31

Issue

Vol.4, No.4 (Jul/Aug 2014)

Section

Articles

How to Cite

EMG Signal Analysis for Diagnosis of Hansen Disease using Neural Network. (2014). International Journal of Current Engineering and Technology, 4(4), 2612-2616. https://ijcet.evegenis.org/index.php/ijcet/article/view/1094