ASSESSMENT OF MUSCULAR ACTIVITY BY MECHANOMYOGRAM (MMG)

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KOLEYNI MAMGHANI N.; MOSADAD SEYED HASHEM; SAFAR DEZFOULI M.

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Paper Information

Journal: IRAN OCCUPATIONAL HEALTH JOURNAL Year:2007 | Volume:3 | Issue:3-4 Page(s): 18-24

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Title

ASSESSMENT OF MUSCULAR ACTIVITY BY MECHANOMYOGRAM (MMG)

Author(s)

KOLEYNI MAMGHANI N. | MOSADAD SEYED HASHEM | SAFAR DEZFOULI M. | Issue Writer Certificate

Keywords

MECHANOMYOGRAMQ4

ELECTROMYOGRAMQ4

BIOLOGICAL SIGNALQ4

CONTRACTING MUSCLEQ4

FATIGUEQ2

Abstract

Background and Aim: 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. Method: 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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APA: Copy

KOLEYNI MAMGHANI, N., MOSADAD, SEYED HASHEM, & SAFAR DEZFOULI, M.. (2007). ASSESSMENT OF MUSCULAR ACTIVITY BY MECHANOMYOGRAM (MMG). IRAN OCCUPATIONAL HEALTH JOURNAL, 3(3-4), 18-24. SID. https://sid.ir/paper/128977/en

Vancouver: Copy

KOLEYNI MAMGHANI N., MOSADAD SEYED HASHEM, SAFAR DEZFOULI M.. ASSESSMENT OF MUSCULAR ACTIVITY BY MECHANOMYOGRAM (MMG). IRAN OCCUPATIONAL HEALTH JOURNAL[Internet]. 2007;3(3-4):18-24. Available from: https://sid.ir/paper/128977/en

IEEE: Copy

N. KOLEYNI MAMGHANI, SEYED HASHEM MOSADAD, and M. SAFAR DEZFOULI, “ASSESSMENT OF MUSCULAR ACTIVITY BY MECHANOMYOGRAM (MMG),” IRAN OCCUPATIONAL HEALTH JOURNAL, vol. 3, no. 3-4, pp. 18–24, 2007, [Online]. Available: https://sid.ir/paper/128977/en

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