The Intelligent Medical Monitoring System Based On Multi-Sensor Information Fusion

With the accelerating pace of social life, the growing population of aging, cardiovascular disease has become a serious threat to human health and life of the major diseases and these diseases are often unexpected, if not timely detection and treatment would have very serious consequences. Therefore, in order to facilitate the people's heart health care to develop a portable, economical and practical for home monitoring equipment to achieve heart disease patients, self-discovery, self-diagnosis and self-care is imperative. In recent years, the rapid development of embedded system technology for the launch of these studies have also provided a good technical condition.In this article firstly we introduce today's sudden cardio-cerebral vascular diseases and seriousness, indicating the importance of the prevention and the prompt treatment; Then we describe the domestic and international monitoring system status and future technology trends; and there is an overview of the system hardware and software design and in this part of the module's functions; Then we detail the reasons for the selection of hardware components and modular design; and in Chapter 5 we describes the signal acquisition pre-processing part of the commonly used wavelet, wavelet packet and wavelet theory discrete sequence, and then we have also done a detailed description for the identification and integration of parts used in neural networks, cluster analysis, support vector machines and DS evidence theory; Then in Chapter 6 we detail the design of the software part, including the driver and algorithm design, which briefly describes some introduction of the AD driver and buzzer-driver; the algorithm partly to the heart sounds, pulse and respiration sound sensors to do pre-processing algorithms are introduced and finally the identification algorithms and fusion algorithm design method and application examples have done a detailed introduction; Finally, chapter 7 is a test section, this section mainly uses MATLAB tools for the identification part of the algorithms simulation test, finally to verify the theoretical feasibility; The last section is summarized in this section ,and the deficiencies of the design process and shortcomings are described.