Design Of Dynamic Pulse Detection System Based On

Due to accelerating pace of life and increased work pressure, more and more people are suffering from the state of sub-healthy, followed by a variety of potential diseases and occasional disease. Pulse, as an important physiological index of human body, contains a lot of pathological information. Abnormalities can be found and causal factors can be known, by analyzing the pulse shape and parameters. In view of the human potential diseases and the occasional diseases, the diagnosis basis needs a large number of dynamic pulse data. However, the existing pulse detection products can not meet the demand for long time dynamic detection of the pulse.Accordingly, this paper used the PVDF piezoelectric sensor as the acquisition front, from the point view of portability, to design a dynamic pulse detection device; According to the characteristics of the collected pulse data, this paper also studied an algorithm based on EMD to deal with it. The main contents of this paper include the following parts:1. The hardware circuit of the dynamic pulse detection device was designed. In this paper, PVDF piezoelectric sensor was selected and the acquisition circuit was designed, after studying the types of pulse sensors and their advantages and disadvantages. According to the design requirements, the MCU minimum system, the collection circuit, the display circuit, the storage circuit and the transmission circuit were designed. In particular, the acceleration acquisition module was designed to collect the motion range, for the characteristics of dynamic detection. The software program adopted different strategies to achieve the automatic acquisition of pulse based on different ranges of motion.2. The software program of the dynamic pulse detection device was compiled. Real-time operating system uC/OS-Ⅲ is replanted successfully to manage multiple tasks, also the STemWin graphical interface system was used to achieve pulse waveform real-time display. The Procedure completed the automatic collection and the storage of pulse. Based on the motion acceleration data, the strategy of interrupting acquisition or delaying acquisition was adopted. Finally, the serial Bluetooth data transfer program was compiled to complete data transfer.3. Dynamic pulse data processing algorithm was studied. After using the cumulative energy algorithm based on EMD, combined with the characteristics of the collection of pulse data, the problems of the interrupt, drift and noise were solved in processing the dynamic pulse signals. And using MATLAB to write the data processing graphical interface.Finally, the research completed the system debugging and testing of the dynamic pulse detection device. The results showed that the front end sensor could sensitively reflect the pulse signal; the device could collect the pulse duration detection under slight movement by judging the state of motion accurately. The comparison of waveform and HHT marginal spectrum before and after data processingshowed that this method could effectively filter out the interference and noise in the dynamic pulse waves, and kept the pulse feature. Achieved a long time pulse signal detection without affecting individuals’ normal life, the device meets the needs of the era of personal health care, with a high market value.