Study Of Pulse Wave Automatic Acquisition And Analysis

Clinically proven, pulse waveform contains a large number of hemodynamic information. Hemodynamic parameters are closely related to pulse waveform characteristics and can be used to make comprehensive evaluation of function and potential of the cardiovascular system. Therefore, cardiovascular hemodynamic parameters obtained by pulse waveform detecting play an important role in the cardiovascular disease detection, treatment and monitoring process. Pulse waveform automatic acquisition and analysis system will have a wide application.Previous pulse waveform acquisition and analysis system generally required human intervention. Pulse waveform availability was determined by operator. The operator observed the waveform to decide when stopping detecting. It had a low automation degree and a large impact on human factors. In order to solve these problems, a pulse waveform automatic acquisition and analysis system was designed to achieve the goal of pulse waveform automatic acquisition, automatic sampling, automatic analysis, anthropogenic influence reduction, detection speed improvement and operation complexity reduction. Hemodynamic parameters of subjects can be quickly, conveniently and accurately measured. It can provide an appropriate and effective technical mean for clinical examination and treatment, and lay groundwork for further scientific research of pulse waveform.In this dissertation, new signal processing technology was combined with the non-invasive detection theory of cardiovascular hemodynamic parameters. The hardware circuits of pulse waveform detection system was re-designed and improved. Pulse width modulation and optical modulation techniques were used for automatic continuous adjustment of the signal gain. The corresponding control procedures and application software were re-designed. Algorithms for baseline drift filtering and single wave extraction were introduced. A pulse waveform acquisition and analysis system was designed with advantages of small-size, anti-interference, low-power consumption and high automation degree. This system accomplishes functions of signal gain and baseline automatic adjustment, waveform automatic identification, baseline drift real-time filtering and waveform availability automatic judgment. This system can also acquire and analyze data automatically and realize the function of pulse waveform automatic acquirement without human intervention. Hardware monitoring module was also designed which can be able to test equipment fault promptly and accurately and provide an accurate guidance for usage and maintenance to reduce unnecessary troubles.