Quantification of Myosignal Parameters in HD Patients

Sup>S Vivekanandan ,Sup>D.s Emmanuel ,S Dilli Ganesh

doi:10.19026/rjaset.7.690

Sup>S Vivekanandan , Sup>D.s Emmanuel + Show 1 more

Open Access

https://doi.org/10.19026/rjaset.7.690

Copy DOI

Abstract

Developments in signal processing techniques, has made possible extraction of useful inside information from diseased myosignals through surface Electromyography (sEMG). This study attempts to quantify the myosignal parameter of Hansen's Disease (HD) patients. The EMG signals acquired from the Abductor Digiti Minimi (ADM) muscle were analyzed using time, frequency domain and wavelet techniques vis a vis healthy subjects. Quantifying the myosignals of the diseased-probably attempted for the first time-will help the physician in early diagnosis. Interestingly the test results show drastic deviation between the two. Its development and implementation will save the subjects from developing deformity.

Highlights

Hansen Disease is a nonfatal, chronic infectious disease caused by Mycobacterium leprae, whose clinical manifestations are largely confined to the skin, peripheral nervous system, upper respiratory tract, eyes and testes (Central Leprosy Division, 2013; Tony, 2007)
Using the features of Hansen’s Disease (HD) myosignal and qualitative information from the subject this study quantifies and compares the diseased with the healthy by which early diagnosis for HD may be possible with the following conclusions:
Electrophysiological investigations have an important role in the detection of muscle denervation and neuropathic changes in HD patients

Summary

INTRODUCTION

Hansen Disease is a nonfatal, chronic infectious disease caused by Mycobacterium leprae, whose clinical manifestations are largely confined to the skin, peripheral nervous system, upper respiratory tract, eyes and testes (Central Leprosy Division, 2013; Tony, 2007). A total of 1.27 lakh new cases were detected during the year 2012-13, which gives annual new case detection rate of 10.35 per 100,000 populations. A total of 3865 grade 2 disability detected in the new leprosy cases during 2012-13, which gives the grade 2 disability rate of 3.14/million population. A total of 0.83 lakh cases are on record as on 1st April 2013, giving a prevalence rate of 0.68 per 100,000 populations. The EMG signal can be readily analyzed and the constants extracted to differentiate a suspected leprosy patient from the healthy. EMG signal allows observation of overall muscular activity during specific functions, which is a desirable addition to our database (Carlos, 1990, 1992; Lineu et al, 1999)

MATERIALS AND METHODS

RESULT

Findings

DISCUSSION

CONCLUSION