STM32-Based Health Monitoring System

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.

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Publication Details

Journal
International Journal of Mechanical and Electrical Engineering
Published
2025-04-26
DOI
https://doi.org/10.62051/ijmee.v5n3.04
Primary Topic
Sensor Technology and Measurement Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

STM32-Based Health Monitoring System

Huixian Chen, Zheng Hong Zhu, Tianqi Cheng, Huanxiao Mai
International Journal of Mechanical and Electrical Engineering
Sensor Technology and Measurement Systems
article

STM32-Based Health Monitoring System

Huixian Chen, Zheng Hong Zhu, Tianqi Cheng, Huanxiao Mai
article en

Abstract

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.

International Journal of Mechanical and Electrical EngineeringVol. 5(3)
Henan University of Science and Technology (CN)
Henan University of Science and Technology, Foundation of Henan Educational Committee, Henan University
Openalex Percentile: Top 88%
Sensor Technology and Measurement Systems
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