A new approach for muscle fatigue analysis in young adults at different MVC levels

Abdullah Al Zaman; Mohammad A. Ahad; Mohammed Ferdjallah; Jacqueline J. Wertsch

doi:10.1109/MWSCAS.2005.1594147

A new approach for muscle fatigue analysis in young adults at different MVC levels

Abdullah Al Zaman, Mohammad A. Ahad, Mohammed Ferdjallah, Jacqueline J. Wertsch

Electrical & Computer Engineering

Research output: Contribution to book or proceeding › Conference article › peer-review

4 Scopus citations

Abstract

Spectral parameters such as the mean and the median frequencies have been documented to be reliable outcome variables for the assessment of muscle fatigue. However when recorded for long intervals, electromyography signals become non-stationary. Short-time Fourier transform (STFT) has been extensively used for computing the electromyography time-varying spectrum, but the joint time-frequency resolutions of the STFT is inherently limited. A new time varying autoregressive (TVAR) model is proposed to analyze EMG signals which does not have joint time frequency resolution limitations. The objective of this paper is to examine surface EMG signals of healthy young subjects at different levels of maximum voluntary contractions (MVC) and to analyze spectral shifts in mean frequencies (MNF) using STFT and TV AR models. Our results show, TVAR has a better accuracy in signal representation and high frequency resolution. Further, spectral estimation can be obtained even for shorter data sequence. In this study, continuous stream of EMG data sets from lower extremity muscles are used to characterize muscular fatigue at different MVC level. EMG data were recorded from the Rectus Femoris muscles during isometric contractions.

Original language	American English
Title of host publication	2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005
Pages	499-502
Number of pages	4
DOIs	https://doi.org/10.1109/MWSCAS.2005.1594147 https://doi.org/10.1109/MWSCAS.2005.1594147
State	Published - Feb 21 2006
Event	IEEE International Midwest Symposium on Circuits and Systems - Cincinnati, United States Duration: Aug 7 2005 → Aug 10 2005 Conference number: 48 https://ieeexplore.ieee.org/servlet/opac?punumber=10622

Publication series

Name	Midwest Symposium on Circuits and Systems
Volume	2005
ISSN (Print)	1548-3746

Conference

Conference	IEEE International Midwest Symposium on Circuits and Systems
Abbreviated title	IEEE MWSCAS
Country/Territory	United States
City	Cincinnati
Period	08/7/05 → 08/10/05
Internet address	https://ieeexplore.ieee.org/servlet/opac?punumber=10622

Scopus Subject Areas

Electronic, Optical and Magnetic Materials
Electrical and Electronic Engineering

Disciplines

Engineering
Biomedical Engineering and Bioengineering
Bioelectrical and Neuroengineering

Access to Document

10.1109/MWSCAS.2005.1594147
10.1109/MWSCAS.2005.1594147License: Unspecified

Cite this

Al Zaman, A., Ahad, M. A., Ferdjallah, M., & Wertsch, J. J. (2006). A new approach for muscle fatigue analysis in young adults at different MVC levels. In 2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005 (pp. 499-502). Article 1594147 (Midwest Symposium on Circuits and Systems; Vol. 2005). https://doi.org/10.1109/MWSCAS.2005.1594147, https://doi.org/10.1109/MWSCAS.2005.1594147

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title = "A new approach for muscle fatigue analysis in young adults at different MVC levels",

abstract = "Spectral parameters such as the mean and the median frequencies have been documented to be reliable outcome variables for the assessment of muscle fatigue. However when recorded for long intervals, electromyography signals become non-stationary. Short-time Fourier transform (STFT) has been extensively used for computing the electromyography time-varying spectrum, but the joint time-frequency resolutions of the STFT is inherently limited. A new time varying autoregressive (TVAR) model is proposed to analyze EMG signals which does not have joint time frequency resolution limitations. The objective of this paper is to examine surface EMG signals of healthy young subjects at different levels of maximum voluntary contractions (MVC) and to analyze spectral shifts in mean frequencies (MNF) using STFT and TV AR models. Our results show, TVAR has a better accuracy in signal representation and high frequency resolution. Further, spectral estimation can be obtained even for shorter data sequence. In this study, continuous stream of EMG data sets from lower extremity muscles are used to characterize muscular fatigue at different MVC level. EMG data were recorded from the Rectus Femoris muscles during isometric contractions.",

author = "{Al Zaman}, Abdullah and Ahad, {Mohammad A.} and Mohammed Ferdjallah and Wertsch, {Jacqueline J.}",

note = "IEEE Xplore, delivering full text access to the world's highest quality technical literature in engineering and technology. | IEEE Xplore; IEEE International Midwest Symposium on Circuits and Systems, IEEE MWSCAS ; Conference date: 07-08-2005 Through 10-08-2005",

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doi = "10.1109/MWSCAS.2005.1594147",

language = "American English",

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series = "Midwest Symposium on Circuits and Systems",

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Al Zaman, A, Ahad, MA, Ferdjallah, M & Wertsch, JJ 2006, A new approach for muscle fatigue analysis in young adults at different MVC levels. in 2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005., 1594147, Midwest Symposium on Circuits and Systems, vol. 2005, pp. 499-502, IEEE International Midwest Symposium on Circuits and Systems, Cincinnati, Ohio, United States, 08/7/05. https://doi.org/10.1109/MWSCAS.2005.1594147, https://doi.org/10.1109/MWSCAS.2005.1594147

A new approach for muscle fatigue analysis in young adults at different MVC levels. / Al Zaman, Abdullah; Ahad, Mohammad A.; Ferdjallah, Mohammed et al.
2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005. 2006. p. 499-502 1594147 (Midwest Symposium on Circuits and Systems; Vol. 2005).

Research output: Contribution to book or proceeding › Conference article › peer-review

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AU - Al Zaman, Abdullah

AU - Ahad, Mohammad A.

AU - Ferdjallah, Mohammed

AU - Wertsch, Jacqueline J.

N1 - Conference code: 48

PY - 2006/2/21

Y1 - 2006/2/21

N2 - Spectral parameters such as the mean and the median frequencies have been documented to be reliable outcome variables for the assessment of muscle fatigue. However when recorded for long intervals, electromyography signals become non-stationary. Short-time Fourier transform (STFT) has been extensively used for computing the electromyography time-varying spectrum, but the joint time-frequency resolutions of the STFT is inherently limited. A new time varying autoregressive (TVAR) model is proposed to analyze EMG signals which does not have joint time frequency resolution limitations. The objective of this paper is to examine surface EMG signals of healthy young subjects at different levels of maximum voluntary contractions (MVC) and to analyze spectral shifts in mean frequencies (MNF) using STFT and TV AR models. Our results show, TVAR has a better accuracy in signal representation and high frequency resolution. Further, spectral estimation can be obtained even for shorter data sequence. In this study, continuous stream of EMG data sets from lower extremity muscles are used to characterize muscular fatigue at different MVC level. EMG data were recorded from the Rectus Femoris muscles during isometric contractions.

AB - Spectral parameters such as the mean and the median frequencies have been documented to be reliable outcome variables for the assessment of muscle fatigue. However when recorded for long intervals, electromyography signals become non-stationary. Short-time Fourier transform (STFT) has been extensively used for computing the electromyography time-varying spectrum, but the joint time-frequency resolutions of the STFT is inherently limited. A new time varying autoregressive (TVAR) model is proposed to analyze EMG signals which does not have joint time frequency resolution limitations. The objective of this paper is to examine surface EMG signals of healthy young subjects at different levels of maximum voluntary contractions (MVC) and to analyze spectral shifts in mean frequencies (MNF) using STFT and TV AR models. Our results show, TVAR has a better accuracy in signal representation and high frequency resolution. Further, spectral estimation can be obtained even for shorter data sequence. In this study, continuous stream of EMG data sets from lower extremity muscles are used to characterize muscular fatigue at different MVC level. EMG data were recorded from the Rectus Femoris muscles during isometric contractions.

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T2 - IEEE International Midwest Symposium on Circuits and Systems

Y2 - 7 August 2005 through 10 August 2005

ER -

A new approach for muscle fatigue analysis in young adults at different MVC levels

Abstract

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