Rearch And Design For Portable Sub-Health Monitor

With the accelerating pace of modern life, people face growing pressure, coupled with the worsening of environmental pollution, sub-health has become a major human health hazard. Then building a portable system to monitor sub-health gradually put on the research agenda.Sub-health monitoring system is a portable sensor detects the body through a variety of physiological signals, then through the information processing module, the integration of multiple physiological signals, the establishment of sub-health intelligence assessment on the human body system, and real-time monitoring of sub-health. The diagnosis sub-health system provides a new means of physical parameters for real-time assessment from the sub made a preliminary study.Firstly, the increasingly prominent sub-health problems for the analysis of the sub-health research situation to study the sub-health symptoms and their causes, and the feasibility of sub-health from fatigue. A brief introduction of sub-health physiology, psychology and sociology based on theoretically proved cardiac function, body temperature, respiration and sub-health relationship between the sub made a portable embedded control system, not time and place restrictions, without prejudice to their daily life and work anytime, anywhere monitoring of human condition, through the monitoring of physiological data obtained to assess the sub-health status of smart, intelligent warning. Then for the ECG-based physiological signal processing algorithm research and design.Paper first introduces the basic knowledge of ECG, ECG characteristics of the noise source and then introduce the basics of wavelet transform to highlight the Mallat transform algorithm. The last of this part to get ECG interference.The final part shows the portable system design and implementation. The system consists of a signal processing module physiological signal,ARM9 core central of processing module and Wifi wireless transmission module. a signal processing module for physiological signal to complete the signal processing module of the signal pre-amplification, loss detection, analog filters and A/D conversion function of the circuit design. Central processing module uses high-performance, low power, processing capability of the ARM9 processor to the digital filtering of physiological signals and wavelet analysis. Wifi module is used to realize a portable external signaling system, the central system to achieve real-time monitoring system for all concerned to facilitate the timely medical treatment. Test results show that the system is stable, good performance, to meet the design requirements, and has some practical value.