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Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm
Jui-Chuan Cheng1, Chao-Yuan Chiu1, Te-Jen Su2,3
1Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80782, Taiwan.
This study introduces a fuzzy system using heart rate to assess cardiorespiratory endurance and guide training. The system effectively improved resting heart rate and heart rate recovery in participants after 8 weeks.
Area of Science:
- Exercise Physiology
- Biomedical Engineering
- Artificial Intelligence in Sports
Background:
- Cardiorespiratory endurance is a key health indicator, typically measured by VO2max, which is impractical for daily use.
- Estimating cardiorespiratory endurance using heart rate offers a more accessible alternative for real-world applications.
- Current methods lack personalized, adaptive training feedback for optimal results.
Purpose of the Study:
- To develop and validate a fuzzy system for evaluating cardiorespiratory endurance levels.
- To create an adaptive training program using heart rate data for personalized fitness.
- To prevent under-training and over-training through intelligent feedback.
Main Methods:
- A fuzzy algorithm integrated into an Android app utilizes resting heart rate (RHR) via Bluetooth to set treadmill training speeds.
- The system calculates cardiorespiratory endurance levels using RHR and heart rate recovery (HRR) post-exercise.
- Participants underwent an 8-week exercise training program guided by the fuzzy system.
Main Results:
- An average decrease of 11% in resting heart rate (RHR) was observed.
- A significant increase of 51.5% in heart rate recovery (HRR) was recorded.
- The fuzzy system demonstrated improvement in the overall cardiorespiratory endurance evaluation levels.
Conclusions:
- The proposed fuzzy system provides an effective method for assessing and training cardiorespiratory endurance using heart rate.
- This technology can assist fitness instructors in designing individualized training programs.
- The system offers a practical, accessible tool for monitoring and enhancing physical fitness.
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