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Monitoring System Design Based On The Analysis Of The Physiological Parameter

Posted on:2016-01-19Degree:MasterType:Thesis
Country:ChinaCandidate:X L ZhangFull Text:PDF
GTID:2308330479478911Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
Today, people are increasingly concerned about the health of themselves and their families. Because of the shortage of medical resources, we design a physiological parameter monitoring system based on the analysis of the Physiological Parameter. Taking advantage of the internships company, this paper focus on the development of anti-interference monitoring equipment and efficient real-time analysis algorithms.This paper detailed understood the pulse and ECG knowledge, cleared relationship between physiological signal and related medical standard. And proposed design requirements to determine system solutions. The development of embedded Linux System, included building host development environment, Bootloader transplant, porting the kernel, foot filesystem production and graphical interface development. Design of pulse wave, ECG acquisition circuit, Zigbee wireless transmission module, mobile robots, and build a complete monitoring system platform.System application design, including the design of the pulse wave acquisition module and ECG measurement modules, wireless transmission module and the host ARM9 serial communication program design and analysis of the pulse wave signal handler.Due to the characteristics of ECG and pulse signal, they were respectively pretreated by the paper. Only asking for the pulse rate, the filtering process of the pulse is relatively simple, only the weighted moving average filter. On the basis of ECG filtering, and using wavelet transform to remove the baseline drift.For the ECG,the absolute difference of the proposed R-wave detection method based on a novel differential detection algorithm, this method is not used to determine the location of the R wave through the threshold, the smaller the amount of calculation. Through the MIT-BIH Arrhythmia Database of ECG actual testing proved that the algorithm hashigher recognition rate, achieve a better detection. This paper presents a relatively simple ECG analysis algorithm, and used to monitor the system.Finally concluded, the mobile robot monitoring system based on the analysis of multiple physiological parameters, monitored human pulse and ECG parameters,realized the tracking and monitoring the health of the human body and make simple decisions on health status by analyzing the physiological information. Help to improve people’s concern about their own health and reduce harm because of neglecting their health.
Keywords/Search Tags:Embedded, Pulse, ECG, arrhythmia
PDF Full Text Request
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