Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data

Abstract Electromyography (EMG) is the standard technology for monitoring muscle activity in laboratory environments, either using surface electrodes or fine wire electrodes inserted into the muscle. Due to limitations such as cost, complexity, and technical factors, including skin impedance with su...

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Autores principales:	Richard B. Woodward, Maria J. Stokes, Sandra J. Shefelbine, Ravi Vaidyanathan
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2aa823782a484646906f41032db66ea1
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spelling	oai:doaj.org-article:2aa823782a484646906f41032db66ea12021-12-02T15:09:29ZSegmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data10.1038/s41598-019-41860-42045-2322https://doaj.org/article/2aa823782a484646906f41032db66ea12019-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-019-41860-4https://doaj.org/toc/2045-2322Abstract Electromyography (EMG) is the standard technology for monitoring muscle activity in laboratory environments, either using surface electrodes or fine wire electrodes inserted into the muscle. Due to limitations such as cost, complexity, and technical factors, including skin impedance with surface EMG and the invasive nature of fine wire electrodes, EMG is impractical for use outside of a laboratory environment. Mechanomyography (MMG) is an alternative to EMG, which shows promise in pervasive applications. The present study used an exerting squat-based task to induce muscle fatigue. MMG and EMG amplitude and frequency were compared before, during, and after the squatting task. Combining MMG with inertial measurement unit (IMU) data enabled segmentation of muscle activity at specific points: entering, holding, and exiting the squat. Results show MMG measures of muscle activity were similar to EMG in timing, duration, and magnitude during the fatigue task. The size, cost, unobtrusive nature, and usability of the MMG/IMU technology used, paired with the similar results compared to EMG, suggest that such a system could be suitable in uncontrolled natural environments such as within the home.Richard B. WoodwardMaria J. StokesSandra J. ShefelbineRavi VaidyanathanNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 9, Iss 1, Pp 1-10 (2019)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Richard B. Woodward Maria J. Stokes Sandra J. Shefelbine Ravi Vaidyanathan Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
description	Abstract Electromyography (EMG) is the standard technology for monitoring muscle activity in laboratory environments, either using surface electrodes or fine wire electrodes inserted into the muscle. Due to limitations such as cost, complexity, and technical factors, including skin impedance with surface EMG and the invasive nature of fine wire electrodes, EMG is impractical for use outside of a laboratory environment. Mechanomyography (MMG) is an alternative to EMG, which shows promise in pervasive applications. The present study used an exerting squat-based task to induce muscle fatigue. MMG and EMG amplitude and frequency were compared before, during, and after the squatting task. Combining MMG with inertial measurement unit (IMU) data enabled segmentation of muscle activity at specific points: entering, holding, and exiting the squat. Results show MMG measures of muscle activity were similar to EMG in timing, duration, and magnitude during the fatigue task. The size, cost, unobtrusive nature, and usability of the MMG/IMU technology used, paired with the similar results compared to EMG, suggest that such a system could be suitable in uncontrolled natural environments such as within the home.
format	article
author	Richard B. Woodward Maria J. Stokes Sandra J. Shefelbine Ravi Vaidyanathan
author_facet	Richard B. Woodward Maria J. Stokes Sandra J. Shefelbine Ravi Vaidyanathan
author_sort	Richard B. Woodward
title	Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
title_short	Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
title_full	Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
title_fullStr	Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
title_full_unstemmed	Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data
title_sort	segmenting mechanomyography measures of muscle activity phases using inertial data
publisher	Nature Portfolio
publishDate	2019
url	https://doaj.org/article/2aa823782a484646906f41032db66ea1
work_keys_str_mv	AT richardbwoodward segmentingmechanomyographymeasuresofmuscleactivityphasesusinginertialdata AT mariajstokes segmentingmechanomyographymeasuresofmuscleactivityphasesusinginertialdata AT sandrajshefelbine segmentingmechanomyographymeasuresofmuscleactivityphasesusinginertialdata AT ravivaidyanathan segmentingmechanomyographymeasuresofmuscleactivityphasesusinginertialdata
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Segmenting Mechanomyography Measures of Muscle Activity Phases Using Inertial Data

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