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Research and Design of Cardiopulmonary Endurance Monitoring Bicycle Motor System Based on Secondary Load

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Communications, Signal Processing, and Systems (CSPS 2023)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 1033))

Abstract

In order to solve the problem that the traditional Stationary bicycle cannot collect heart and lung heart rate data and the professional Monark bike is expensive, a two-stage load cardiopulmonary endurance monitoring bike Motor system was designed. The hardware part of the system mainly completes the design of heart rate data measurement and collection module, power load measurement and collection module, and resistance regulation module. The collection of motion data is completed through pressure sensors, torque motors, and angle sensors. The software mainly completes the design of the data collection process for the lower computer and the data analysis and display design for the upper computer APP. The system has designed a two-stage load cardiopulmonary endurance test scheme, which uses the VO2max index to achieve the evaluation and monitoring of the user's cardiopulmonary heart rate level. The test results indicate that the cardiopulmonary endurance monitoring system has a significant correlation with the Monark power cycle, verifying the accuracy of the system.

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Acknowledgements

This work was supported in part by Natural Research Science Institute of Anhui Provincial Department of Education 2022AH051379; Suzhou University Doctoral Research Initiation Fund Project 2023BSK023.Suzhou University School Level Quality Engineering Project szxy2023jyjf082; Anhui Provincial Department of Education Key Project for Scientific Research in Universities 2022AH051350; Natural Research Science Institute of Anhui Provincial Department of Education 2022AH051376.

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Correspondence to Biao Lu .

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Liu, M., Lu, B. (2024). Research and Design of Cardiopulmonary Endurance Monitoring Bicycle Motor System Based on Secondary Load. In: Wang, W., Liu, X., Na, Z., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2023. Lecture Notes in Electrical Engineering, vol 1033. Springer, Singapore. https://doi.org/10.1007/978-981-99-7502-0_24

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  • DOI: https://doi.org/10.1007/978-981-99-7502-0_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-7555-6

  • Online ISBN: 978-981-99-7502-0

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