Analysis of surface Electromyography signals using ZAM based quadratic time frequency distribution

Author

Karthick, P.A. ; Ramakrishnan, Shankar

Author_Institution

Dept. of Appl. Mech., Biomed. Eng. Group, Indian Inst. of Technol. Madras, Chennai, India

fYear

2014

fDate

25-27 April 2014

Firstpage

1

Lastpage

2

Abstract

In this work an attempt has been made to analyze the surface Electromyography signals recorded during dynamic contractions using quadratic time frequency distribution. Surface EMG signals are recorded from biceps brachii muscle in 50 healthy volunteers. These signals are subjected to Zhao-Atlas-Marks based Quadratic Time-Frequency Distribution (QTFD). Instantaneous median frequency (IMDF) and instantaneous mean frequency (IMNF) are estimated from the time frequency domain. In addition, IMDF are interpolated with time by using linear regression technique. The result shows that IMDF and IMNF are distinct in fatigue and non fatigue conditions and these parameters reduce significantly in fatigue case. Further, it is observed that IMDF decreases with time.

Keywords

electromyography; medical signal processing; regression analysis; time-frequency analysis; ZAM based quadratic time frequency distribution; Zhao-Atlas-Marks based quadratic time-frequency distribution; biceps brachii muscle; dynamic contractions; instantaneous mean frequency; instantaneous median frequency; linear regression technique; nonfatigue conditions; surface electromyography signal analysis; surface electromyography signal recording; time-frequency domain; Electromyography; Fatigue; Linear regression; Muscles; Recruitment; Time-frequency analysis; Biceps brachii; Instantaneous median frequency; QTFD; Surface EMG; Zhao-Atlas-Marks;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference (NEBEC), 2014 40th Annual Northeast

Conference_Location

Boston, MA

Type

conf

DOI

10.1109/NEBEC.2014.6972833

Filename

6972833