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Application of flexible sensor multimodal data fusion system based on artificial synapse and machine learning in athletic injury prevention and health monitoring

Crossref DOI link: https://doi.org/10.1007/s44163-025-00254-4

Published Online: 2025-03-31

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Gai, XiaoLan
Funding

Funding for this research was provided by:

Key Natural Science Research Projects of Universities in Anhui Province (2023AH052819)
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Text and Data Mining valid from 2025-03-31

Version of Record valid from 2025-03-31
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Article History

Received: 25 December 2024

Accepted: 24 March 2025

First Online: 31 March 2025

Declarations

:

: This study was approved by the Ethics Committee of Anhui Wenda University of Information Engineering. Informed consent was obtained from all participants in accordance with the ethical standards of the University. For participants under 18 years of age, we obtained consent from their parents or guardians. Participants were fully informed about the study's purpose, procedures, and their rights, including the right to withdraw from the study at any time without penalty. A sample consent form was provided upon request.

: The authors declare no competing interests.

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