Wenjing Yang
ABSTRACT
With the improvement of material living standards, people have more expectations and requirements for a healthy life. Health management and artificial intelligence have become the sunrise industries in the field of health. Intelligent wearable and telemedicine have been widely applied and popularized. This design is based on wireless motion sensor nodes such as ADS1292, STM32 chips, MPU6050 motion sensors, and Bluetooth modules. The system collects the signals required for heart rate calculation through ADS1292 chips, and the signals are denoised by filter software designed by the microcontroller program to remove baseline drift and EMG signal interference. Then, an algorithm program is used to determine the peak value of the R wave to calculate the R wave period, draw an electrocardiogram, and calculate the instantaneous heart rate. Through simulation and actual measurement demonstration on the application platform, performance analysis was conducted on the display results, further improving the design scheme of the human heart rate and body temperature monitoring system. Based on this, software and hardware system design was completed, and a real-time heart rate motion state detection device was developed to achieve the goal of spreading heart rate data and detecting the corresponding reasonable heart rate range according to individual situations.
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