Design and Implementation of Electrocardiogram Signal Analysis and Processing System Based on Cortex M4

Sports require heart rate levels of different intensities, and electrocardiogram signals can provide important information about heart rate. By analyzing electrocardiogram signals, information about heart function and exercise performance can be obtained, helping athletes understand their exercise intensity and cardiovascular status. You can use For optimizing training plans and individualized sports training programs. For example, by monitoring electrocardiogram signals, the appropriate intensity and duration of exercise can be determined to achieve optimal training results. Electrocardiograms play a key role in the treatment of heart disease. In view of the problems of traditional ECG acquisition equipment such as being large, bulky, expensive, and unportable, a small automatic ECG signal analysis and processing system based on Cortex M4 was designed. The system is mainly composed of pulse sensor, ADC analog-to-digital conversion module, LCD liquid crystal display module, reset module, LED module and power module. First, the human body's bioelectrical signal passes through the pulse sensor and then is converted into a digital signal by the ADC. Secondly, the drawing function in the LCD liquid crystal display module is called to depict the ECG waveform, and then the adaptive threshold algorithm is used to calculate the heart rate value BPM and Display it; finally, the data obtained from the analog-to-digital conversion is printed through the serial debugger, and then MATLAB is used to further analyze and process the above data. The system is small and portable, with strong realtime operability and can accurately measure the human heart rate anytime and anywhere.