Decision-centered wearable biosensors for personalized rehabilitation: integrating multimodal monitoring, artificial intelligence, and closed-loop intervention.
- DOI
- 10.3389/fbioe.2026.1948186
- Published
- 2026
- Container
- Frontiers in bioengineering and biotechnology
- 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:10.3389/fbioe.2026.1948186,
title = {Decision-centered wearable biosensors for personalized rehabilitation: integrating multimodal monitoring, artificial intelligence, and closed-loop intervention.},
author = {Jia F and Li X and Song H and Liu X and Tang Y and Wen Q and Wu P},
year = {2026},
journal = {Frontiers in bioengineering and biotechnology},
doi = {10.3389/fbioe.2026.1948186},
url = {https://doi.org/10.3389/fbioe.2026.1948186}
}RIS
TY - JOUR TI - Decision-centered wearable biosensors for personalized rehabilitation: integrating multimodal monitoring, artificial intelligence, and closed-loop intervention. AU - Jia F AU - Li X AU - Song H AU - Liu X AU - Tang Y AU - Wen Q AU - Wu P PY - 2026 JO - Frontiers in bioengineering and biotechnology DO - 10.3389/fbioe.2026.1948186 UR - https://doi.org/10.3389/fbioe.2026.1948186 ER -
APA
F, J., X, L., H, S., X, L., Y, T., Q, W., & P, W. (2026). Decision-centered wearable biosensors for personalized rehabilitation: integrating multimodal monitoring, artificial intelligence, and closed-loop intervention.. Frontiers in bioengineering and biotechnology. https://doi.org/10.3389/fbioe.2026.1948186
Source records
- pubmed · retrieved 2026-11-10T10:25:17.596Z