ANALYZING THE INFLUENCING FACTORS OF SPORTS FATIGUE BASED ON ALGORITHM
ABSTRACT Objective: This paper discusses the monitoring method of exercise fatigue and analyzes the influencing factors of exercise fatigue. Methods: Based on the feature extraction method of the fatigue image signal, a series of changes caused by exercise fatigue are analyzed by the biofeedback technique. SVM algorithm and neural network model are used to identify the fatigue state of motion. Characteristics of electroencephalogram (EEG) and electromyography (EMG) during fatigue. Results: When sports fatigue occurred, the composite index of bio-feedback technology shows a decrease in HRV index and increases in HRV time-domain indicators, frequency-domain indicators, and SAa values. Conclusions: It has a high degree of systematization. The proposed method is non-invasive and has practical application value. Level of evidence II; Therapeutic studies - investigation of treatment results.
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| Format: | Digital revista |
| Language: | English |
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Sociedade Brasileira de Medicina do Exercício e do Esporte
2021
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| Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-86922021000400377 |
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