Assessment of Muscular Activity by Mechanomyogram(MMG)

Background and aims   Recordings of electrical activity in the muscle and surface electromyography (EMG) have been widely used in the field of applied physiology. In parallel to  recording of the EMG, the detectable low-frequency vibration signal generated by the skeletal  muscle has been known and...

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Main Authors: M. Saffar Dezfuli, SH. Mosaddad, N. Koleini Mamaghani
Format: Article
Language:fas
Published: Iran University of Medical Sciences 2006-10-01
Series:Salāmat-i kār-i Īrān
Subjects:
Online Access:http://ioh.tums.ac.ir/browse.php?a_code=A-10-1-46&slc_lang=en&sid=1
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author M. Saffar Dezfuli
SH. Mosaddad
N. Koleini Mamaghani
author_facet M. Saffar Dezfuli
SH. Mosaddad
N. Koleini Mamaghani
author_sort M. Saffar Dezfuli
collection DOAJ
description Background and aims   Recordings of electrical activity in the muscle and surface electromyography (EMG) have been widely used in the field of applied physiology. In parallel to  recording of the EMG, the detectable low-frequency vibration signal generated by the skeletal  muscle has been known and well documented. As the nature of the signal has been progressively   revealed, the term of mechanomyography (MMG) has been proposed by a recent review. The  main mechanism of the MMG generation has been considered to be sound pressure waves due to  the dimensional changes, i.e., lateral expansion of the activated muscle fibres.   Methods   Low-frequency vibrations produced by muscle fibres are clearly distinguishable from  the EMG, because MMG and EMG exhibit differences in response latency, spike duration, and  frequency. During voluntary contraction at constant force the MMG frequency content does not   change significantly.   Results   This suggests that the frequency of MMG signal is directly related to the absolute force level of the muscle, irrespective of fatigue phenomena. At low force contractions, in contrast to   EMG signal, the changes in the amplitude content of the MMG are more consistent with muscle  fatigue. This indicated that the amplitude of MMG signal might be recommended as a method to  improve the objective and reliable detection of muscle fatigue induced by low force contraction.   Conclusion   MMG is most likely a valuable supplement to EMG as a non-invasive method to  examine various aspects of muscle function including fatigue, electromechanical delay, muscle fibre type patterns, age related changes in muscular performance, muscle atrophy, and neuromuscular performance.
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spelling doaj.art-bc2d64d783ef4b67bbdddf9264694a932022-12-22T03:01:12ZfasIran University of Medical SciencesSalāmat-i kār-i Īrān1735-51332228-74932006-10-01324Assessment of Muscular Activity by Mechanomyogram(MMG)M. Saffar DezfuliSH. MosaddadN. Koleini MamaghaniBackground and aims   Recordings of electrical activity in the muscle and surface electromyography (EMG) have been widely used in the field of applied physiology. In parallel to  recording of the EMG, the detectable low-frequency vibration signal generated by the skeletal  muscle has been known and well documented. As the nature of the signal has been progressively   revealed, the term of mechanomyography (MMG) has been proposed by a recent review. The  main mechanism of the MMG generation has been considered to be sound pressure waves due to  the dimensional changes, i.e., lateral expansion of the activated muscle fibres.   Methods   Low-frequency vibrations produced by muscle fibres are clearly distinguishable from  the EMG, because MMG and EMG exhibit differences in response latency, spike duration, and  frequency. During voluntary contraction at constant force the MMG frequency content does not   change significantly.   Results   This suggests that the frequency of MMG signal is directly related to the absolute force level of the muscle, irrespective of fatigue phenomena. At low force contractions, in contrast to   EMG signal, the changes in the amplitude content of the MMG are more consistent with muscle  fatigue. This indicated that the amplitude of MMG signal might be recommended as a method to  improve the objective and reliable detection of muscle fatigue induced by low force contraction.   Conclusion   MMG is most likely a valuable supplement to EMG as a non-invasive method to  examine various aspects of muscle function including fatigue, electromechanical delay, muscle fibre type patterns, age related changes in muscular performance, muscle atrophy, and neuromuscular performance.http://ioh.tums.ac.ir/browse.php?a_code=A-10-1-46&slc_lang=en&sid=1MechanomyogramlectromyogramBiological signalContracting muscleFatigue
spellingShingle M. Saffar Dezfuli
SH. Mosaddad
N. Koleini Mamaghani
Assessment of Muscular Activity by Mechanomyogram(MMG)
Salāmat-i kār-i Īrān
Mechanomyogram
lectromyogram
Biological signal
Contracting muscle
Fatigue
title Assessment of Muscular Activity by Mechanomyogram(MMG)
title_full Assessment of Muscular Activity by Mechanomyogram(MMG)
title_fullStr Assessment of Muscular Activity by Mechanomyogram(MMG)
title_full_unstemmed Assessment of Muscular Activity by Mechanomyogram(MMG)
title_short Assessment of Muscular Activity by Mechanomyogram(MMG)
title_sort assessment of muscular activity by mechanomyogram mmg
topic Mechanomyogram
lectromyogram
Biological signal
Contracting muscle
Fatigue
url http://ioh.tums.ac.ir/browse.php?a_code=A-10-1-46&slc_lang=en&sid=1
work_keys_str_mv AT msaffardezfuli assessmentofmuscularactivitybymechanomyogrammmg
AT shmosaddad assessmentofmuscularactivitybymechanomyogrammmg
AT nkoleinimamaghani assessmentofmuscularactivitybymechanomyogrammmg