Approximate Entropy in Electromyography during Muscle Fatigue

Wali M. Hussein, Payam and Tufan, Kadir and Dursun, Serkan (2019) Approximate Entropy in Electromyography during Muscle Fatigue. Eurasian Journal of Science and Engineering, 4 (4). pp. 28-38. ISSN 24145629

[img] Text (Research Article)
eajse.v4i4p28.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (729kB)
Official URL: https://eajse.tiu.edu.iq

Abstract

Muscle fatigue (MF) is a phenomenon that involves the decline of one’s ability to perform physical action. The early detection of MF is important in the field of ergonomics, sports, occupational work, and human-computer interaction, as MF affects performance and may cause injury. Since MF is not a quantitative value, existing researches in this field are mostly based on different measurable parameters. Electromyography is among the most commonly used signals in analysing MF. The main purpose of this paper is to analyse MF during isometric contractions. For this purpose Discrete Wavelet Transform (DWT) is used to divide each signal to get sub-band frequencies. Approximate Entropy (ApEn) is applied to each sub-band. In the next step, each band is segmented into three sections. Finally, a comparison between the first segment and last segment is performed to evaluate MF.

Item Type: Article
Uncontrolled Keywords: Muscle Fatigue, Electromyography, Discrete Wavelet Transform, Approximate Entropy
Subjects: Q Science > QA Mathematics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Eurasian Journal of Science and Engineering > VOL 4, NO 4 (2019)
Depositing User: ePrints deposit
Date Deposited: 12 Oct 2020 19:42
Last Modified: 12 Oct 2020 19:42
URI: http://eprints.tiu.edu.iq/id/eprint/215

Actions (login required)

View Item View Item