A comparative analysis of neuropathic and healthy EMG signal using PSD

Author

Kumar Bhoi, Akash ; Sonam Sherpa, Karma ; Kumar Mallick, Pradeep

Author_Institution

Appl. Electron. & Instrum. Eng. Dept., Sikkim Manipal Inst. of Technol. (SMIT), Manipal, India

fYear

2014

fDate

3-5 April 2014

Firstpage

1375

Lastpage

1379

Abstract

The presented approach is conceptually useful in illustrating the alteration in motor units (MUs) for neuromuscular disorders and discussed on the properties of PDS & PSD of EMG signals. The proposed power spectral density method comparatively analyzed the healthy & neuropathy signals with Welch´s PSD estimation method by Hamming & Kaiser Window. The distributions of power over frequency components for both the signals are significantly compared. This analysis is intended to provide an automatic diagnosis of an individual´s muscle condition.

Keywords

electromyography; medical disorders; medical signal processing; neurophysiology; EMG signals; PSD estimation method; electromyogram signals; muscle condition; neuromuscular disorders; neuropathy signals; power spectral density method; Electric potential; Electromyography; Frequency estimation; Indexes; Muscles; Shape; Biomedical signal processing; Diseases; Electromyography; Multi spectral imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications and Signal Processing (ICCSP), 2014 International Conference on

Conference_Location

Melmaruvathur

Print_ISBN

978-1-4799-3357-0

Type

conf

DOI

10.1109/ICCSP.2014.6950074

Filename

6950074