Abstract

Mountain biking is a recognized fitness sport. Therefore, studying the performance measurement system of mountain biking athletes is an important way to supervise and realize scientific training. At present, many views on the issue of function measurement are somewhat divergent. The only research is limited to the discussion of function components, which lacks systemicity, and there is little research on the construction of the function measurement index system. Combining the practice of mountain bike training, the article conducts a more detailed research on the construction of performance measurement index system, focusing on what to do and the principles to be followed. The article takes a total of 28 mountain bikers from a cycling team as the research object, and uses the literature review method, expert consultation method, and functional test mathematical statistics method to analyze the obtained data and improve the data sorting table. On this basis, statistics create descriptive statistics of the data. Experiments show that if the ankle joints and flexors and extensors of mountain bikers are tested at an angular velocity of 60°/s and 180°/s, the peak moment flexion-extension ratio is 20%–36%, hemoglobin rises within 12–24 h, creatine kinase recovers within 36–72 h, and blood urea nitrogen recovers within 24–36 h.

Highlights

  • Mountain biking is a cyclical physical fitness event

  • Its power comes from the contraction of the human lower limb muscles and the process of active pedaling and stretching

  • When pedaling and lifting of the lower limbs, the flexibility, extension, and angle changes of the knee and ankle joints of the lower limbs are the main sources of power

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Summary

Introduction

Mountain biking is a cyclical physical fitness event. It is a competitive sports event that uses equipment to do work. E high frequency pedaling operation of mountain bikers relies on the tightly coordinated and alternate contraction of the knee and lower extremity pelvic muscles. It achieves riding efficiency in heavy-load training and competitions. Is paper studies the strength characteristics of the pelvic floor muscles of mountain bikers by stretching the knees, ankles, and hands of mountain bikers with different training levels, combined with professional technical analysis and strives to provide a reliable reference for athletes and checks the difference in the degree of preparation of athletes in different isokinetic tests. Provide historical event data to predict current events, and provide coaches and athletes with accurate information and a basis for judgment in training decisions. erefore, the research and implementation of multi-touch sensor network software and volume analysis software has important significance and broad prospects for mountain bikers [8]

Multi-Source Information Fusion Related Technologies
Sensor Accuracy Weighted Fusion
Research Objects
Experimental
Findings
Condition Control
Full Text
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