Digital Image Processing

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EMG Signal Detection and Diagnosis of Neuropathy Muscle Disease


Affiliations
1 Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, India
     

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In this paper EMG signal detection and diagnosis of neuropathy muscle disease from different patients. This paper investigates another commonly used method is electromyography by analysis and classification the EMG signals. The system has successfully implemented by using MATLAB’s software that was able to differentiate the EMG signal coming from different patients. The signal from respective patients can be easily identified by development of Graphical User Interface (GUI).

Keywords

Electromyography (EMG), Fast Fourier Transformation (FFT), Muscles, Nervous System, Healthy, Neuropathy.
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  • EMG Signal Detection and Diagnosis of Neuropathy Muscle Disease

Abstract Views: 240  |  PDF Views: 3

Authors

R. Keerthana
Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, India
S. Selvarani
Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, India
P. Abidharani
Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, India
D. Jegathiswari
Department of ECE, Tejaa Shakthi Institute of Technology for Women, Coimbatore, Tamilnadu-641659, India

Abstract


In this paper EMG signal detection and diagnosis of neuropathy muscle disease from different patients. This paper investigates another commonly used method is electromyography by analysis and classification the EMG signals. The system has successfully implemented by using MATLAB’s software that was able to differentiate the EMG signal coming from different patients. The signal from respective patients can be easily identified by development of Graphical User Interface (GUI).

Keywords


Electromyography (EMG), Fast Fourier Transformation (FFT), Muscles, Nervous System, Healthy, Neuropathy.