STM32-Based Health Monitoring System
DOI:
https://doi.org/10.62051/ijmee.v5n3.04Keywords:
Intelligence, Health Monitoring, Heart Rate and Blood Oxygen Detection, PortableAbstract
With the intensifying trend of global population aging, the demand for health monitoring among the elderly is becoming increasingly urgent. This paper addresses the issues of bulkiness and complexity in traditional health monitoring devices by proposing a portable health monitoring system based on STM32 embedded technology. The system utilizes the MAX30102 photoplethysmography (PPG) sensor to achieve non-invasive heart rate and blood oxygen saturation (SpO₂) detection. An optimized signal processing algorithm effectively eliminates motion artifacts, while the STM32F103C8T6 microcontroller facilitates data acquisition and real-time analysis. Compared to conventional medical equipment, this system is compact, energy-efficient, and user-friendly, offering a reliable technological solution for daily health monitoring and chronic disease management in the elderly. It holds significant application value in the field of smart elderly care.
References
[1] Zheng Xiaoxiao, Yang Jiagui.Design of an Intelligent Elderly Care System Based on Multi-Sensor Technology. 2024.https://doi.org/10.16589/j.cnki.cn113571/tn.2024.21.026.
[2] (Department of Electronic Information, Anhui University of Finance and Economics, Bengbu 233030, Anhui Province)Liu Zhenyu, Xue Yuqiang, Xie Zuqiang. "High-Speed Food Sorting Robot Control Technology Based on Closed-Loop and Feedforward Control" [J].*Food&Machinery*,2021,37(07):87–93. https://doi.org/ 10. 13652/j. issn. 1003-5788.2021. 07.014.
[3] Lou Xichun, Gao Wa. "Research on Interaction Design of Elderly Companion Robots" [J].* Design*, 2020, 33 (08): 134136. https://doi.org/10.20055/j.cnki.10030069.2020.08.033.
[4] Zeng, D. (2018). "Design of Elderly Care Service Robots Based on Artificial Intelligence Technology" [J]. *Electronics Manufacturing*, 24. https://doi.org/10.16589/j.cnki.cn11-3571/ tn.2018.24.009.
[5] Wangxin. Design and Implementation of a Portable Cardiopulmonary Monitoring System. Nanjing University of Posts and Telecommunications.2023.https://doi.org/10.27251/d.cnki.gnjdc.2022.000200.
[6] Zhang Qingchun; Yu Lan. "System Design of an Intelligent Human Body Electronic Scale"[J].* Instrumentation Technology*, 2008,No.230(7).https://doi.org/10.19432/j.cnki.issn1006-2394.2008.07.005.
[7] Zeng jiayun.Software Design of the Application of I2C Bus Memory on the DSP240 Platform.Nanjing Research Center of Mechatronics and Hydraulics Engineering.2013, 35–37. https://doi.org/ 10.16184/ j.cnki. comprg. 2014.06.013.
[8] Li Wei, Jin Shijun. "Optimal Path Convergence Method Based on Artificial Potential Field and Heuristic Sampling" [J]. *Journal of Computer Applications*, 2021, 41(10): 2912–2918. https://doi.org/10. 11772/j. issn. 1001-9081. 2020122021.
[9] Luo Qiang, Wang Haibao, Cui Xiaojin, et al. "Research on Autonomous Navigation System for Warehouse Robots Using Improved Artificial Potential Field Method in Dynamic Environments" [J]. *Application Research ozdf Computers*, 2020, 37(03): 745–749 + 762. https://doi.org/10.19734/j.issn.1001-3695.2018.09.0640.
[10] Chang Xucheng, Wang Jingyu, Li Kang, Tang Qian, Zhang Xinhui. Multi-UAV Obstacle Avoidance Method Based on Improved Dynamic Window Approach (DWA) Fusion Algorithm [J/OL]. Journal of Projectiles, Rockets, Missiles and Guidance. 2025,3-6. https://link.cnki.net/urlid/61.1234.tj.20250227.1118.002.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.