Research On Physiological Parameters Monitoring System Developed For Healthy Smart Home

The population aging phenomenon is increasing in world especially in China.Meanwhile, cardiovascular disease has become the number one killer of health of theelderly. In addition, the medical resources are scarce seriously. To solve these problems,the domestic and foreign scholars have researched on the basis of the healthy smart home,and using community medical service to alleviate the crisis. However, domesticcommunity medical service lack of the real-time monitoring of health data from the family.Therefore, the physiological parameter monitoring system for healthy smart home isdiscussed in this paper.The main work and achievements are as follows:(1)The research background and significance of the topic were described, and thedevelopment of healthy smart home was introduced in this paper. Aimed at the currentdomestic main problems of community medical technology, the research content anddesign idea of this topic were proposed.(2)Related algorithm theory were introduced, including the features of physiologicalsignals，the time domain and frequency domain analysis method. The relevant nationalstandards for requirements of the system design were introduced as well.(3)The physiological signals processing technology were deeply studied, includingsignal filtering technology, baseline drift correction method. The pulse signals and ECGwere mainly researched, those signals were acquired by the general purposed auto-testsystem (GPTS), analog and digital filtering methods are used to reduce signal noises.Using the high order Butterworth filter to filter noise, having done the simulation anddesigned the circuit,tested and analysised it. The methods of mean filtering and FIRlow-pass filtering based on Hamming window are discussed, and the Welch powerspectrum is used to analyze the filtering effect. Adopting the least square method to correctthe baseline drift. All of these works are the foundation for the signal analysis.(4)Method of the pulse rate measurement base on the signal processing is the keypoint of this dissteration. Pulse waveform characteristics were analyzed under the staticand motion. Adopting the fixed threshold method to measure the pulse rate after havingcorrected baseline drift under static condition, and using the slope summation thresholdmethod to measure the pulse rate under dynamic. In this paper, the slope summationthreshold method were discussed in detail, the experiment results show that this method isapplicable to measure the pulse rate under static and dynamic. (5)Portable physiological parameters monitoring system based on ARM technologywas developed. The system hardware and software design were mainly researched. Thehardware design contains physiological sensor selection, design of signal pretreatmentcircuit, controller and its peripheral circuit selection scheme. The software design containsthe framework of the program, man-machine interface, signal acquisition, data storage andwireless communication module.Research on this monitoring system for physiological parameters in this paper canprovide the basis data service for development of remote medical and treatment. Thisresearch work has a certain reference value for peers of research on healthy smart homeand community medical. Take into account the domestic status of aging and medicalresources, this topic is worth the long-term and depth study.