Research on data extraction technology of physiological index based on BCG signal of human heart shock

Many healthcare applications need to use the instantaneous frequency of heart rate signal, and its reliability and accuracy are very important. Most of the existing medical electrodes need to be fixed on the main parts of the medical equipment. Therefore, the main problem is to improve the portability and ease of installation of cardiac function testing equipment. In recent years, studies have found that the use of cardiogram signal can effectively solve this problem. A new flexible algorithm is proposed to calculate the interval between the center spikes of the cardiogram (BCG). The experimental subjects use vertical sitting posture, which greatly reduces the noise caused by body movement. The experimental data are obtained by piezoelectric thin film sensor belt, and the signal is processed by Raspberry pie. Because there are many noises in the collected signals, Butterworth filter is used to filter the noises.