Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure

Measuring muscle fatigue is one essential and standard method to quantify the ergonomic risks associated with prolonged low-load exposure. However, measuring muscle fatigue using EMG-based methods has shown conflicting results under low-load but sustained work conditions, e.g., prolonged sitting. Mu...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Bochen Jia, Abhishek Nagesh Kumbhar, Yourui Tong
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	muscle fatigue computer vision muscle stimulation low-load exposure ergonomics prolonged exposure Medicine R
Acceso en línea:	https://doaj.org/article/01416b2b4279490f87e7aefa7180c784
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:01416b2b4279490f87e7aefa7180c784
record_format	dspace
spelling	oai:doaj.org-article:01416b2b4279490f87e7aefa7180c7842021-11-11T16:23:29ZDevelopment of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure10.3390/ijerph1821112421660-46011661-7827https://doaj.org/article/01416b2b4279490f87e7aefa7180c7842021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11242https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Measuring muscle fatigue is one essential and standard method to quantify the ergonomic risks associated with prolonged low-load exposure. However, measuring muscle fatigue using EMG-based methods has shown conflicting results under low-load but sustained work conditions, e.g., prolonged sitting. Muscle stimulation technology provides an alternative way to estimate muscle fatigue development during such work conditions by monitoring the stimulation-evoked muscle responses, which, however, could be restricted by the accessibility and measurability of targeted muscles. This study proposes a computer vision-based method to overcome such potential restrictions by visually quantifying the muscle belly displacement caused by muscle stimulation. The results demonstrate the ability of the developed computer vision-based stimulation method to detect muscle fatigue from prolonged low-load tasks. Current results can be used as a foundation to develop a sensitive and reliable method to quantify the adverse effects of the daily low-load sustained condition in occupational and nonoccupational settings.Bochen JiaAbhishek Nagesh KumbharYourui TongMDPI AGarticlemuscle fatiguecomputer visionmuscle stimulationlow-load exposureergonomicsprolonged exposureMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11242, p 11242 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	muscle fatigue computer vision muscle stimulation low-load exposure ergonomics prolonged exposure Medicine R
spellingShingle	muscle fatigue computer vision muscle stimulation low-load exposure ergonomics prolonged exposure Medicine R Bochen Jia Abhishek Nagesh Kumbhar Yourui Tong Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
description	Measuring muscle fatigue is one essential and standard method to quantify the ergonomic risks associated with prolonged low-load exposure. However, measuring muscle fatigue using EMG-based methods has shown conflicting results under low-load but sustained work conditions, e.g., prolonged sitting. Muscle stimulation technology provides an alternative way to estimate muscle fatigue development during such work conditions by monitoring the stimulation-evoked muscle responses, which, however, could be restricted by the accessibility and measurability of targeted muscles. This study proposes a computer vision-based method to overcome such potential restrictions by visually quantifying the muscle belly displacement caused by muscle stimulation. The results demonstrate the ability of the developed computer vision-based stimulation method to detect muscle fatigue from prolonged low-load tasks. Current results can be used as a foundation to develop a sensitive and reliable method to quantify the adverse effects of the daily low-load sustained condition in occupational and nonoccupational settings.
format	article
author	Bochen Jia Abhishek Nagesh Kumbhar Yourui Tong
author_facet	Bochen Jia Abhishek Nagesh Kumbhar Yourui Tong
author_sort	Bochen Jia
title	Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
title_short	Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
title_full	Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
title_fullStr	Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
title_full_unstemmed	Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
title_sort	development of a computer vision-based muscle stimulation method for measuring muscle fatigue during prolonged low-load exposure
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/01416b2b4279490f87e7aefa7180c784
work_keys_str_mv	AT bochenjia developmentofacomputervisionbasedmusclestimulationmethodformeasuringmusclefatigueduringprolongedlowloadexposure AT abhisheknageshkumbhar developmentofacomputervisionbasedmusclestimulationmethodformeasuringmusclefatigueduringprolongedlowloadexposure AT youruitong developmentofacomputervisionbasedmusclestimulationmethodformeasuringmusclefatigueduringprolongedlowloadexposure
_version_	1718432335357018112

Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure

Ejemplares similares