EMG analysis using wavelet functions to determine muscle contraction

Md. Mamun Ibne Reaz, M. S. Hussain, F. Mohd-Yasin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

Modern spectrum analysis has been applied to various bio-medical signal processing. Wavelet transform (WT) has been applied in this research for the analysis of the surface electromyography signal (SEMG). Mean and median frequencies of the SEMG power spectrum were used to indicate changes in muscle contraction during gait. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as a means of understanding muscle contractions during gait. Power spectrum analysis on the EMG signal from right rectus femoris muscle was performed using various wavelet functions (WF). With the appropriate choice of the WF, it is possible to analyze SEMG significantly. Results show that WF Daubechies45 presents the most significant changes in SEMG power spectrum compared to the other WFs.

Original languageEnglish
Title of host publicationHEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services
Pages132-134
Number of pages3
Publication statusPublished - 2006
Externally publishedYes
EventHEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services - New Delhi
Duration: 17 Aug 200619 Aug 2006

Other

OtherHEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services
CityNew Delhi
Period17/8/0619/8/06

Fingerprint

Wavelet Analysis
Electromyography
Wavelet analysis
Muscle Contraction
Muscle
Power spectrum
Gait
Spectrum analysis
Wavelet transforms
Spectrum Analysis
Quadriceps Muscle
Muscles
Research

Keywords

  • EMG
  • Motor unit
  • Power spectrum
  • Wavelet transform

ASJC Scopus subject areas

  • Bioengineering
  • Media Technology
  • Nursing(all)

Cite this

Ibne Reaz, M. M., Hussain, M. S., & Mohd-Yasin, F. (2006). EMG analysis using wavelet functions to determine muscle contraction. In HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services (pp. 132-134). [1717831]

EMG analysis using wavelet functions to determine muscle contraction. / Ibne Reaz, Md. Mamun; Hussain, M. S.; Mohd-Yasin, F.

HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services. 2006. p. 132-134 1717831.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Ibne Reaz, MM, Hussain, MS & Mohd-Yasin, F 2006, EMG analysis using wavelet functions to determine muscle contraction. in HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services., 1717831, pp. 132-134, HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services, New Delhi, 17/8/06.
Ibne Reaz MM, Hussain MS, Mohd-Yasin F. EMG analysis using wavelet functions to determine muscle contraction. In HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services. 2006. p. 132-134. 1717831
Ibne Reaz, Md. Mamun ; Hussain, M. S. ; Mohd-Yasin, F. / EMG analysis using wavelet functions to determine muscle contraction. HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services. 2006. pp. 132-134
@inproceedings{1c7b3eac1b8740e69506b18ea73044af,
title = "EMG analysis using wavelet functions to determine muscle contraction",
abstract = "Modern spectrum analysis has been applied to various bio-medical signal processing. Wavelet transform (WT) has been applied in this research for the analysis of the surface electromyography signal (SEMG). Mean and median frequencies of the SEMG power spectrum were used to indicate changes in muscle contraction during gait. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as a means of understanding muscle contractions during gait. Power spectrum analysis on the EMG signal from right rectus femoris muscle was performed using various wavelet functions (WF). With the appropriate choice of the WF, it is possible to analyze SEMG significantly. Results show that WF Daubechies45 presents the most significant changes in SEMG power spectrum compared to the other WFs.",
keywords = "EMG, Motor unit, Power spectrum, Wavelet transform",
author = "{Ibne Reaz}, {Md. Mamun} and Hussain, {M. S.} and F. Mohd-Yasin",
year = "2006",
language = "English",
pages = "132--134",
booktitle = "HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services",

}

TY - GEN

T1 - EMG analysis using wavelet functions to determine muscle contraction

AU - Ibne Reaz, Md. Mamun

AU - Hussain, M. S.

AU - Mohd-Yasin, F.

PY - 2006

Y1 - 2006

N2 - Modern spectrum analysis has been applied to various bio-medical signal processing. Wavelet transform (WT) has been applied in this research for the analysis of the surface electromyography signal (SEMG). Mean and median frequencies of the SEMG power spectrum were used to indicate changes in muscle contraction during gait. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as a means of understanding muscle contractions during gait. Power spectrum analysis on the EMG signal from right rectus femoris muscle was performed using various wavelet functions (WF). With the appropriate choice of the WF, it is possible to analyze SEMG significantly. Results show that WF Daubechies45 presents the most significant changes in SEMG power spectrum compared to the other WFs.

AB - Modern spectrum analysis has been applied to various bio-medical signal processing. Wavelet transform (WT) has been applied in this research for the analysis of the surface electromyography signal (SEMG). Mean and median frequencies of the SEMG power spectrum were used to indicate changes in muscle contraction during gait. This paper reports on the effectiveness of the wavelet transform applied to the SEMG signal as a means of understanding muscle contractions during gait. Power spectrum analysis on the EMG signal from right rectus femoris muscle was performed using various wavelet functions (WF). With the appropriate choice of the WF, it is possible to analyze SEMG significantly. Results show that WF Daubechies45 presents the most significant changes in SEMG power spectrum compared to the other WFs.

KW - EMG

KW - Motor unit

KW - Power spectrum

KW - Wavelet transform

UR - http://www.scopus.com/inward/record.url?scp=42549116222&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=42549116222&partnerID=8YFLogxK

M3 - Conference contribution

SP - 132

EP - 134

BT - HEALTHCOM 2006: Mobile E-Health for Developing Countries - 2006 8th International Conference on e-Health Networking, Applications and Services

ER -