A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.
- DOI
- 10.1186/s12911-024-02828-1
- Published
- 2025 Feb 11
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-024-02828-1,
title = {A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.},
author = {He Y and Jan YH and Yang F and Ma Y and Pei C},
year = {2025},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-024-02828-1},
url = {https://doi.org/10.1186/s12911-024-02828-1}
}RIS
TY - JOUR TI - A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies. AU - He Y AU - Jan YH AU - Yang F AU - Ma Y AU - Pei C PY - 2025 JO - BMC medical informatics and decision making DO - 10.1186/s12911-024-02828-1 UR - https://doi.org/10.1186/s12911-024-02828-1 ER -
APA
Y, H., YH, J., F, Y., Y, M., & C, P. (2025). A novel method for assessing cycling movement status: an exploratory study integrating deep learning and signal processing technologies.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-024-02828-1
Source records
- pubmed · retrieved 2026-09-26T02:45:09.092Z