PCG-based exercise fatigue detection method using multi-scale feature fusion model.

Ma X, Su X, Ge H, Chen Y

DOI: 10.1080/10255842.2024.2406369
Published: 2026 Feb
Container: Computer methods in biomechanics and biomedical engineering
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/10255842.2024.2406369,
  title = {PCG-based exercise fatigue detection method using multi-scale feature fusion model.},
  author = {Ma X and Su X and Ge H and Chen Y},
  year = {2026},
  journal = {Computer methods in biomechanics and biomedical engineering},
  doi = {10.1080/10255842.2024.2406369},
  url = {https://doi.org/10.1080/10255842.2024.2406369}
}

RIS

TY  - JOUR
TI  - PCG-based exercise fatigue detection method using multi-scale feature fusion model.
AU  - Ma X
AU  - Su X
AU  - Ge H
AU  - Chen Y
PY  - 2026
JO  - Computer methods in biomechanics and biomedical engineering
DO  - 10.1080/10255842.2024.2406369
UR  - https://doi.org/10.1080/10255842.2024.2406369
ER  -

APA

X, M., X, S., H, G., & Y, C. (2026). PCG-based exercise fatigue detection method using multi-scale feature fusion model.. Computer methods in biomechanics and biomedical engineering. https://doi.org/10.1080/10255842.2024.2406369

Source records

pubmed · retrieved 2026-09-26T07:14:59.066Z