Sports-Induced Fatigue Recovery of Competitive Aerobics Athletes Based on Health Monitoring

Author:

Wang Cuijuan1ORCID

Affiliation:

1. Physical Education College, Shandong University of Finance and Ecomonics, Jinan 250014, Shandong, China

Abstract

Exercise-induced fatigue refers to the symptom that the body cannot continue to maintain the original training volume after a certain period of continuous training. Competitive aerobics athletes have a large amount of daily training exercise, and their bodies are prone to exercise fatigue. The health monitoring technology can monitor the physical state in real time and diagnose and treat the diseases caused by the body in time. This article aims at applying the health monitoring technology to the research of sports fatigue recovery of competitive aerobics athletes. This article first briefly introduces the theoretical review of exercise-induced fatigue, and it includes the definition, classification, and determination methods of exercise-induced fatigue, and then uses the health monitoring system to describe it, and finally conducts an experiment in the diagnosis and rehabilitation of exercise-induced fatigue. The health monitoring technology was compared with traditional medical methods, and the four aspects of speed, accuracy, recovery rate, and athlete’s treatment satisfaction were tested. The experimental results show that the diagnostic accuracy based on health monitoring technology is the same as that of traditional manual medical diagnosis, reaching about 85%, which verifies its effectiveness.

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Retracted: Sports-Induced Fatigue Recovery of Competitive Aerobics Athletes Based on Health Monitoring;Computational Intelligence and Neuroscience;2023-11-01

2. sRPE and ACWR to Control Fatigue Levels and Minimize Injuries in Performance Sports;2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC);2023-10-01

3. Student fatigue and its impact on teaching effectiveness based on online teaching;Education and Information Technologies;2023-09-26

4. System Construction of Athlete Health Information Protection Based on Machine Learning Algorithm;BioMed Research International;2022-09-28

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