Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players.
- DOI
- 10.1038/s41598-026-44199-9
- Published
- 2026 Mar 24
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 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:10.1038/s41598-026-44199-9,
title = {Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players.},
author = {Han G and Zhang Y and Sun B},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-44199-9},
url = {https://doi.org/10.1038/s41598-026-44199-9}
}RIS
TY - JOUR TI - Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players. AU - Han G AU - Zhang Y AU - Sun B PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-44199-9 UR - https://doi.org/10.1038/s41598-026-44199-9 ER -
APA
G, H., Y, Z., & B, S. (2026). Wearable sensor big data analysis reveals spatiotemporal injury patterns in professional tennis players.. Scientific reports. https://doi.org/10.1038/s41598-026-44199-9