Wavelet transform to recognize muscle fatigue

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

6 Citations (Scopus)

Abstract

Electromyography (EMG) is to measure the muscle response to nervous stimulation. The power spectrum of the EMG shifts towards lower frequencies during a continued muscle contraction due to muscular fatigue. Muscle fatigue is the decline in ability of a muscle to create force. This research presents the effectiveness of the wavelet transform applied to the surface EMG (SEMG) signal as a means of understanding muscle fatigue during walk. Power spectrum and bispectrum analysis on the EMG signal getting from right rectus femoris muscle is executed utilizing various wavelet functions (WFs). It is possible to recognize muscle fatigue appreciably with the proper choice of the WF. The outcome proves that, the most momentous changes in the EMG power spectrum symbolized by WF Daubechies4. Moreover, bispectrum properties compared to the other WFs. To determine muscle fatigue during gait, Daubechies45 is used in this research to analyze SEMG signal.

Original languageEnglish
Title of host publicationAsian Himalayas International Conference on Internet
DOIs
Publication statusPublished - 2012
Event2012 3rd Asian Himalayas International Conference on Internet, AH-ICI 2012 - Kathmandu
Duration: 23 Nov 201225 Nov 2012

Other

Other2012 3rd Asian Himalayas International Conference on Internet, AH-ICI 2012
CityKathmandu
Period23/11/1225/11/12

Fingerprint

Wavelet transforms
Muscle
Electromyography
Fatigue of materials
Power spectrum

Keywords

  • Bispectrum
  • EMG
  • SEMG
  • WF

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Cite this

Chowdhury, R., Ibne Reaz, M. M., & Islam, M. T. (2012). Wavelet transform to recognize muscle fatigue. In Asian Himalayas International Conference on Internet [6408445] https://doi.org/10.1109/AHICI.2012.6408445

Wavelet transform to recognize muscle fatigue. / Chowdhury, R.; Ibne Reaz, Md. Mamun; Islam, Mohammad Tariqul.

Asian Himalayas International Conference on Internet. 2012. 6408445.

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

Chowdhury, R, Ibne Reaz, MM & Islam, MT 2012, Wavelet transform to recognize muscle fatigue. in Asian Himalayas International Conference on Internet., 6408445, 2012 3rd Asian Himalayas International Conference on Internet, AH-ICI 2012, Kathmandu, 23/11/12. https://doi.org/10.1109/AHICI.2012.6408445
Chowdhury R, Ibne Reaz MM, Islam MT. Wavelet transform to recognize muscle fatigue. In Asian Himalayas International Conference on Internet. 2012. 6408445 https://doi.org/10.1109/AHICI.2012.6408445
Chowdhury, R. ; Ibne Reaz, Md. Mamun ; Islam, Mohammad Tariqul. / Wavelet transform to recognize muscle fatigue. Asian Himalayas International Conference on Internet. 2012.
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