Design of Portable PPG Heart Rate Detection System Based on Single Chip Microcomputer
DOI:
https://doi.org/10.65496/jcste.2026.75Keywords:
Photoplethysmography, Heart rate detection system, Single-chip microcomputer, Portable detectionAbstract
Reliable pulse wave acquisition and heart rate tracking are critical to the evolution of portable pulse diagnosis tools, especially for point-of-care and daily monitoring scenarios. Existing acquisition modules frequently impose a trade-off: analog-intensive front ends hinder miniaturization and increase power draw, whereas more compact, fixed-function designs often foreclose the later addition of complementary sensing modalities such as pressure-based metronome. This study introduces an STM32-based photoplethysmographic (PPG) heart rate detection system built around a fully integrated optical sensor. Pulse waveform data are converted to the digital domain on sensor and streamed directly to the micro-controller via an I²C link, with heart rate values refreshed in real time on an OLED display. The architecture addresses prior limitations in two concrete ways. First, the all‑digital signal chain eliminates the need for discrete analog conditioning components, yielding a significantly smaller footprint and lower cost without compromising waveform fidelity. Second, the board incorporates a reserved signal‑conditioning path centered on an operational amplifier, which provides the necessary gain and band-limiting for future pressure‑pulse sensors. This deliberate provision preserves both the portability of the current unit and the flexibility required for subsequent hardware expansions, effectively decoupling core functionality from peripheral augmentation. The paper details the hardware design rationale and confirms operational integrity of the principal modules through empirical testing. The resulting platform constitutes a low-cost, lightweight front-end solution that directly supports the iterative development and refinement of new‑generation pulse diagnostic instruments.
Downloads
References
[1]Yujia Wang, Feng Cao, Junxia Li. Progress in clinical application of pulse wave detection[J]. Chin J Evid Based Cardiovasc Med, 2024, 16(12):1555-1557.
[2]Fenfen Zhang, Guoshuang Zhu, Jiali Chen, Jianhong Zhang, Sihui Dong, Shaomin Cheng. Current status and trends in the modernization of pulse diagnosis research: a bibliometric analysis based on CiteSpace and VOSviewer[J]. Digital Chinese Medicine, 2023,6(04):405-415. DOI: https://doi.org/10.1016/j.dcmed.2024.01.004
[3]Ruiyu Bi, Yunlong Zhao, Xiaolong Zhu, Yuhang Ma, Jiawei Li, Zhidong Zhang, Chenyang Xue. Research Progress on Digitalization of Pulse Diagnosis of Traditional Chinese Medicine[J]. CHINESE JOURNAL OF SENSORS AND ACTUATORS, 2021,34(04):427-433
[4]Wenjing Luan. Research on Non-Destructive Testing Methods for Pulse Wave Signal[D].
Harbin Engineering University, 2024.
[5]Su Y. Design of ECG acquisition and display system based on ADS1292R and STM32 microcontroller[C]//2022 15th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2022: 1-5. DOI: https://doi.org/10.1109/CISP-BMEI56279.2022.9979973
[6]Jiaqiang Zheng, Yunzhang Cheng, Junjie Bian. Advances in non-invasive continuous blood pressure measurement based on characteristic parameters of pulse wave[J]. Chinese Journal of Medical Physics, 2020,37(06):749-753.
[7]Jin J, Wang W. Design of portable ecg monitoring system based on stm32 single chip microcomputer[C]//International Conference in Communications, Signal Processing, and Systems. Singapore: Springer Nature Singapore, 2021: 133-139. DOI: https://doi.org/10.1007/978-981-19-0386-1_17
[8]MingRui X, Chang S. Design of Health Monitoring System Based on STM32[C]//2024 IEEE 9th International Conference on Smart Cloud (SmartCloud). IEEE Computer Society, 2024: 66-71. DOI: https://doi.org/10.1109/SmartCloud62736.2024.00019

