Construction of Basketball-Specific Exercise Load Quantification Model Based on Cardiopulmonary Monitoring via Wearable Devices
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Abstract
Basketball is characterized by high-intensity intermittent movements, frequent physical contact and prominent positional differences. Conventional exercise load assessment methods rely on subjective perception or single physiological indicators, which fail to accurately describe athletes’ real-time physical functional status. The rapid advancement of wearable devices enables continuous collection of multi-dimensional physiological data. Synchronized acquisition of cardiopulmonary indicators including heart rate, heart rate variability and oxygen uptake makes objective quantification of exercise load feasible. By constructing a basketball-specific quantification model integrating external and internal loads, precise grading of training intensity and dynamic evaluation of athletes’ physical status can be realized. Model verification was carried out on athletes of different positions through field tests. The results show that the load index output by the model is significantly correlated with cardiopulmonary responses. This study provides quantitative evidence for personalized training prescription formulation and dynamic adjustment of training plans, and bears practical significance for advancing the scientific level of competitive training.
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