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基于物联网数据监测的 PNF 拉伸运动对体育教育中运动损伤的预防作用。

The preventive effect of PNF stretching exercise on sports injuries in physical education based on IoT data monitoring.

机构信息

Department of Physical Education,Yancheng Institute of Technology,Jiangsu 224051, China.

Department of Physical Education,Yancheng Institute of Technology,Jiangsu 224051, China.

出版信息

Prev Med. 2023 Aug;173:107591. doi: 10.1016/j.ypmed.2023.107591. Epub 2023 Jun 26.

DOI:10.1016/j.ypmed.2023.107591
PMID:37380133
Abstract

In physical education, in order to prevent sports injuries of students, it is necessary to study and build a set of physical education Internet of Things data monitoring training system to prevent sports injuries of students. This system is mainly composed of sensors, smart phones and cloud servers. Wearable devices equipped with sensors are used to complete data acquisition and transmission by means of the Internet of Things system, and relevant parameters are sorted and monitored by combining data analysis technology. The system makes a more in-depth, comprehensive and accurate analysis and processing of the collected data, so as to better evaluate the status and quality of students' sports, find out the existing problems in time, and put forward the corresponding solutions. By analyzing students' sports data and health data, the system generates personalized training programs, including training intensity, training time, training frequency and other parameters, so as to meet the needs and actual conditions of different students and avoid sports injuries caused by overtraining. This system can better analyze and process the collected data, provide teachers with more comprehensive and in-depth assessment and monitoring of students' sports status, and provide students with more personalized and scientific training programs, so as to effectively prevent the occurrence of students' sports injuries.

摘要

在体育教学中,为了防止学生的运动损伤,有必要研究和构建一套体育物联网数据监测培训系统,以防止学生的运动损伤。该系统主要由传感器、智能手机和云服务器组成。通过物联网系统,使用配备有传感器的可穿戴设备完成数据采集和传输,并结合数据分析技术对相关参数进行分类和监测。该系统对采集到的数据进行更深入、全面和准确的分析和处理,以便更好地评估学生运动的状态和质量,及时发现存在的问题,并提出相应的解决方案。通过分析学生的运动数据和健康数据,系统生成个性化的训练计划,包括训练强度、训练时间、训练频率等参数,以满足不同学生的需求和实际情况,避免因过度训练而导致的运动损伤。该系统可以更好地分析和处理采集到的数据,为教师提供更全面、深入的学生运动状态评估和监测,并为学生提供更个性化、科学的训练计划,从而有效防止学生运动损伤的发生。

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