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Mobile Networks and Applications
Published in:

20-09-2022

Medical parameter extraction method of sports injury based on sensor network

Authors: Yong Gong, Vicente García-Díaz

Published in: Mobile Networks and Applications | Issue 6/2023

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Abstract

In order to ensure the extraction effect of sports injury medical parameters, improve the extraction efficiency and accuracy, and reduce the extraction error, a sports injury medical parameter extraction method based on sensor network is proposed. The medical parameters of sports injury are collected through invasive wireless sensor network nodes. Using the KPCA data dimensionality reduction principle, the collected sports injury medical parameters are reduced, the Kinect somatosensory sensor is used to identify the bone and joint points of the human body, build the skeleton model of the human body, and extract the sports injury medical parameters. The experimental results show that the proposed method has good extraction effect of sports injury medical parameters, can effectively improve the efficiency and accuracy of sports injury medical parameters extraction, and reduce the error of sports injury medical parameters extraction.
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Metadata
Title
Medical parameter extraction method of sports injury based on sensor network
Authors
Yong Gong
Vicente García-Díaz
Publication date
20-09-2022
Publisher
Springer US
Published in
Mobile Networks and Applications / Issue 6/2023
Print ISSN: 1383-469X
Electronic ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-022-02023-4

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