EMG Signal Analysis for Diagnosis of Hansen Disease using Neural Network
Pages : 2612-2616
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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.
Keywords: EMG signal, Hansen disease etc.
Article published in International Journal of Current Engineering and Technology, Vol.4,No.4 (Aug- 2014)
MECHPGCON, MIT College of Engineering, Pune, India
AMET, MIT College of Engineering, Pune, India
International Conference on Advances in Mechanical Sciences 
International Symposium on Engineering and Technology
International Conference on Women in Science and Engineering
