Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning.
- DOI
- 10.3390/bios15020084
- Published
- 2025 Feb 1
- Container
- Biosensors
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/bios15020084,
title = {Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning.},
author = {Davoudi Kakhki F and Vora H and Moghadam A},
year = {2025},
journal = {Biosensors},
doi = {10.3390/bios15020084},
url = {https://doi.org/10.3390/bios15020084}
}RIS
TY - JOUR TI - Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning. AU - Davoudi Kakhki F AU - Vora H AU - Moghadam A PY - 2025 JO - Biosensors DO - 10.3390/bios15020084 UR - https://doi.org/10.3390/bios15020084 ER -
APA
F, D. K., H, V., & A, M. (2025). Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning.. Biosensors. https://doi.org/10.3390/bios15020084
Source records
- pubmed · retrieved 2026-09-27T01:00:16.551Z