Research on Quantitative Classification of Exercise Fatigue Based on Fuzzy Comprehensive Evaluation Method

Wei Wang, Huashan Si, Xiaoni Zhang, Zhangyong Li
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Abstract

Aiming at the complexity and fuzziness of the connotation, extension and extension of sports fatigue, this paper constructs a quantitative and grading index evaluation model of cycling fatigue based on Kirkpatrick's classical evaluation model. With the help of Ironman tacx T2060 virtual intelligent riding platform to obtain real-time riding power and speed, while wearing wearable Zephyr BioHarness physical signs detector, recording the heart rate and respiratory rate of subjects, after 30 subjects during the movement of real-time data collection, analysis and processing of the parameters. Using the multi-level fuzzy comprehensive evaluation method and mathematical matrix method, the fatigue caused by cyclists in sports can be quantitatively classified and evaluated.
基于模糊综合评价法的运动疲劳定量分类研究
针对运动疲劳内涵、外延、外延的复杂性和模糊性,本文在Kirkpatrick经典评价模型的基础上,构建了自行车疲劳的定量分级指标评价模型。借助Ironman tacx T2060虚拟智能骑行平台获取实时骑行功率和速度,同时佩戴可穿戴的Zephyr BioHarness物理体征检测器,记录被测者的心率和呼吸频率,经过30次被测者运动过程中的实时数据采集、参数分析和处理。运用多层次模糊综合评价法和数学矩阵法,对自行车运动员在运动中引起的疲劳进行定量分类和评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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