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The Realization Of Human Monitoring Platform Based On Wireless Sensor Networks

Posted on:2011-04-30Degree:MasterType:Thesis
Country:ChinaCandidate:X B LiuFull Text:PDF
GTID:2178330332461373Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
Along with the progress of the society and the development of science and technology, people pay more attention to their health care; many countries invest much money in the field every year. Since the speed of treatment and rehabilitation of people with chronic illness or postoperative patients is quite slow, they need long-term medical attention. The existing monitor systems in our country are mostly in hospital. Nevertheless, large medical apparatus and instruments are always indispensable when we attempt to acquire these signals, which are transmitted by the cable and then conserved in the medical server. This classical monitor mode not only adds to the hospital's workload but also increase the expense of the patient. In order to settle down this practice problem better and enhance the quality of medical monitor, a new monitor mode is necessary. With the increasing prosperity of Body Wireless Sensor Networks (BWSN), this technology can be an effectively auxiliary upon medical monitor in hospital. BWSN is a cross-technology of biochemistry, wireless communications, computer technology, electronic information science. It has an extensive application on human daily actions identification, fall detection, gait analysis and auxiliary athletes training. Also human physiological signal collection, processing and applications have become the main source of information for medical purposes.To address this problem, this paper presents a health monitor platform based on wireless sensor network. We use the miniaturization sensor nodes which are fixed on the body in order to realize real-time data acquisition and wireless transmission of human physiological signal. Through experimental certification, the health monitor platform that we present has a high quality of signal acquisition and less packet dropping probability during wireless data transferring. As a result, the platform we present can achieve real-time monitoring of human physiological information.
Keywords/Search Tags:Wireless Sensor Networks, Human Monitoring Platform, Inertial Sensor, ECG, SpO2
PDF Full Text Request
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