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The Research Of Multiple Physiological Parameter Remote Monitoring System Of Sub-healthy Groups

Posted on:2014-01-04Degree:MasterType:Thesis
Country:ChinaCandidate:Q HeFull Text:PDF
GTID:2252330401477532Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
Sub_health refers to the long-term mental stress, chronic disease and thedeterioration of the social environment which make the person is in a state of healthand non-health for a long time. In recent years, with the growth of economic, sociallife step speeding up so more and more people in the sub-health state, especially forsome elderly people. They suffered from chronic diseases which brings great pressureto the spirit of this people. If this kind of condition is not timely and effectivecorrective, it is likely to cause serious illness.The body blood pressure, ECG, temperature and other physiological parameters isthe basic and most important indicators of human life. Real-time monitoring of theaging population is good for understand their health status timely and provideaccurate basis for diagnosis and treatment of clinicians. At present, this kind of careproducts can not collect multiple physiological parameters and of it’s large volume,inconvenient to carry. Therefore, this paper developed a set of multiple physiologicalparameter remote monitoring system based on ZigBee.The system mainly comprises a physiological parameter acquisition andtransmission device and system monitoring center.It can realize the acquisition andtransmission and monitoring center data respectively. The physiological parameterdetecting physiological signal acquisition module body, processing acquisition ofsignal amplification, filtering and A/D conversion.The wireless transmission to themonitoring terminal through the ZigBee module for clinicians reference. In addition,for the history of physiological parameters for clinicians view the individual, thispaper proposes rough set theory and artificial neural network theory to the datacompression scheme.Experiments show that the physiological parameter dataacquisition of the system is stable and reliable, and it have low system cost, datatransmission rate is rapid.Research of multiple physiological parameters monitoring system can realizeremote monitoring and early diagnosis of diseases of aging population.It is of greatsignificance for health people and critically ill patients.
Keywords/Search Tags:Sub_health, Multi-parameter monitoring, ZigBee, Remote diagnosis, Rough set neural network
PDF Full Text Request
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