Development of a Computer Vision-Based Muscle Stimulation Method for Measuring Muscle Fatigue during Prolonged Low-Load Exposure
| Autor: | Bochen Jia, Yourui Tong, Abhishek Nagesh Kumbhar |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Health
Toxicology and Mutagenesis Stimulation Article computer vision Medicine Low load Computer vision Prolonged sitting Muscle Skeletal Muscle fatigue Computers Electromyography business.industry low-load exposure Work (physics) Public Health Environmental and Occupational Health Muscle belly muscle stimulation Prolonged exposure ergonomics prolonged exposure muscle fatigue Artificial intelligence Muscle Stimulation business |
| Zdroj: | International Journal of Environmental Research and Public Health, Vol 18, Iss 11242, p 11242 (2021) International Journal of Environmental Research and Public Health Volume 18 Issue 21 |
| ISSN: | 1660-4601 |
| DOI: | 10.3390/ijerph182111242 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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