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The Wearable System Of Health Parameter Acquisition And Analysis

Posted on:2016-12-16Degree:MasterType:Thesis
Country:ChinaCandidate:J MaFull Text:PDF
GTID:2272330482465989Subject:Electronic and communication engineering
Abstract/Summary:PDF Full Text Request
China’s population is aging at high levels. An increasing number of old people live alone. Once there is an accident, if cannot be found and rescued in time, it will cause serious consequences. In this situation, the human health monitoring equipment gradually enters into daily life. Currently used human health monitoring equipment are mainly those used in hospital to monitor patients, but these instruments need to be used under the guidance of doctors and other professionals, not suitable for ordinary people to use in everyday life and the system is often bulky, not easy to carry.On the other hand, the traditional diagnosis is unable to meet the growing demand for health care, with the use of wearable physiological detection technology, long-term, continuous monitoring of important physiological parameters of patients comes true, this kind of monitoring not only can assist the treatment, but also alarm when the patient’s condition suddenly deteriorates.In view of these circumstances, this paper developed a system of the health data acquisition and analysis system for the elderly. The physiological parameters of body temperature, pulse and acceleration are collected and analyzed. When the parameters are out of the set range, there is an alarm. The acceleration value is used to determine whether the old man falls. The old people in nursing homes or residential areas can deliver these data to the guardian and the doctor through this system and Application Software on PC.The hardware of the wearable physiological health data acquisition system is analyzed and the software is designed in this paper. And the system is verified by a lot of experiments. The system takes CC2530 as the core processor to collect the information, and the health parameters are acquired by the temperature sensor, the pulse sensor and the acceleration sensor. Software design mainly researches communication protocols between the sensors and CC2530, sensors data processing, monitoring the temp and pulse data of human body, fall detection algorithm implementation, data packaging and transmitting to the upper PC through ZigBee.
Keywords/Search Tags:health monitoring, data acquisition, CC2530, sensors
PDF Full Text Request
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