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Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm

Author

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  • Jui-Chuan Cheng

    (Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80782, Taiwan)

  • Chao-Yuan Chiu

    (Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80782, Taiwan)

  • Te-Jen Su

    (Department of Electronic Engineering, National Kaohsiung University of Science and Technology, Kaohsiung 80782, Taiwan
    Department of Biomedical Engineering, Kaohsiung Medical University, Kaohsiung 80708, Taiwan)

Abstract

Cardiorespiratory endurance refers to the ability of the heart and lungs to deliver oxygen to working muscles during continuous physical activity, which is an important indicator of physical health. Cardiorespiratory endurance is typically measured in the laboratory by maximum oxygen uptake (VO 2max ) which is not a practical method for real-life use. Given the relative difficulty in measuring oxygen consumption directly, we can estimate cardiorespiratory endurance on the basis of heart beat. In this paper, we proposed a fuzzy system based on the human heart rate to provide an effective cardiorespiratory endurance training program and the evaluation of cardiorespiratory endurance levels. Trainers can respond correctly with the help of a smart fitness app to obtain the desired training results and prevent undesirable events such as under-training or over-training. The fuzzy algorithm, which is built for the Android mobile phone operating system receives the resting heart rate (RHR) of the participants via Bluetooth before exercise to determine the suitable training speed mode of a treadmill for the individual. The computer-based fuzzy program takes RHR and heart rate recovery (HRR) after exercise as inputs to calculate the cardiorespiratory endurance level. The experimental results show that after 8 weeks of exercise training, the RHR decreased by an average of 11%, the HRR increased by 51.5%, and the cardiorespiratory endurance evaluation level was also improved. The proposed system can be combined with other methods for fitness instructors to design a training program that is more suitable for individuals.

Suggested Citation

  • Jui-Chuan Cheng & Chao-Yuan Chiu & Te-Jen Su, 2019. "Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm," IJERPH, MDPI, vol. 16(13), pages 1-20, July.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:13:p:2390-:d:245991
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    References listed on IDEAS

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    1. Kai-Yang Lo & Min-Chen Wu & Shu-Chin Tung & City C. Hsieh & Hsueh-Hua Yao & Chien-Chang Ho, 2017. "Association of School Environment and After-School Physical Activity with Health-Related Physical Fitness among Junior High School Students in Taiwan," IJERPH, MDPI, vol. 14(1), pages 1-10, January.
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    Cited by:

    1. Fang Li & Chun-Hao Chang & Chia-An Ho & Cheng-You Wu & Hung-Chih Yeh & Yuan-Shuo Chan & Jia-Yu Cheng & Wen-Sheng ChangChien & Chin-Shan Ho, 2022. "The Determination of Step Frequency in 3-min Incremental Step-in-Place Tests for Predicting Maximal Oxygen Uptake from Heart Rate Response in Taiwanese Adults," IJERPH, MDPI, vol. 19(1), pages 1-13, January.
    2. Teen-Hang Meen & Yusuke Matsumoto & Kuei-Shu Hsu, 2020. "Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019)," IJERPH, MDPI, vol. 17(8), pages 1-4, April.

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