A wearable sweat multimodal fusion system based on GSR sensing and individual calibration

To address real-time monitoring of athletes’ multiple physiological states during long-term exercise and protect their safety, this study proposes a wearable physiological parameter monitoring system with an STM32 microcontroller as the core. It synchronously collects/analyzes three core signals (heart rate, motion state, sweat), innovatively integrating sweat monitoring to enrich assessment dimensions. Aiming at individual differences in sweat volume/effects, the system designs an individual calibration mechanism— personalized parameter calibration eliminates interference from physiological differences, ensuring accurate adaptation across users. It enables real-time, continuous dynamic monitoring, supporting early prevention/intervention of post-exercise AKI. With multimodal functions (local OLED visualization, cloud storage), it meets real-time checking and long-term data analysis needs. Tests show its skin conductance module covers 0.01-100 μS (full physiological changes), with 98 ms response time and 98% accuracy— meeting high-intensity exercise requirements. This scheme provides a valuable technical path for sports health protection and reduces exercise-related acute injury risks.