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EMG Signal Analysis for Diagnosis of Hansen Disease using Neural Network


Author : Manoj Singh Rajput, Rameshwar Singh, S.S.Dhakad and A.S.Trivedi

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)

 

 

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