Research Article | OPEN ACCESS
Quantification of Myosignal Parameters in HD Patients
1S. Vivekanandan, 2D.S. Emmanuel and 1R. Ganesh
1School of Electrical Engineering
2School of Electronics Engineering, VIT University, Vellore Tamil Nadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 16:3410-3413
Received: November 11, 2013 | Accepted: November 18, 2013 | Published: April 25, 2014
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 à 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.
Keywords:
EMG, leprosy, quantification, time and frequency domain analysis,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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