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Design And Research On Wearable Devices And System Based On The Elderly Health Monitoring

Posted on:2018-07-22Degree:MasterType:Thesis
Country:ChinaCandidate:H T LiFull Text:PDF
GTID:2322330515969009Subject:Mechanical engineering
Abstract/Summary:PDF Full Text Request
With the aging of population is becoming more and more serious,the health problem of the elderly has aroused widespread attention in the community.At the same time,in the rapid development of the Internet of things today,wearable medical devices are also quietly rising,on the basis of the two,the design of the health monitoring about the elderly and the monitoring platform based on smart wearable devices,has very important social significance.Smart wearable devices for the elderly health can real-time on the human body physiological signal acquisition,and transmitted to the mobile phone or PC monitoring system,and has great practical value for the elderly daily life,health care and medical institutions refer to physiological data etc..This article analyzes and compares the low power technology used in smart wearable devices,and selects the low power MCU and low power wireless transmission technology.In wireless transmission technology,the innovative use of ZIGBEE wireless transmission protocol,and in the subsequent work of the terminal node and coordinator node hardware and program design.To the heart rate of human physiological parameters was analyzed theoretically,we focus on the analysis and research on the extraction of heart rate from the capacitance pulse wave,and three algorithms are proposed to extract the heart rate from the capacitance pulse wave--RR interval algorithm based on time domain to peak;threshold and peak detection algorithm;peak algorithm based on frequency domain.Atthe same time,four kinds of filtering methods are used to process the heart rate signal,and three kinds of heart rate extraction algorithms are implemented by using the MATLAB tool.Finally,the results of the three algorithms are compared and analyzed,and select the heart rate calculation method used in hardware.In order to achieve the development of smart wearable devices and the research of the above algorithms,the relevant hardware and software part are researched and development in this article.In the hardware parts,based on the KL25Z development board and finally in the CodeWarrior programming environment to complete the low-power design,and the relevant hardware circuits are designed,including heart rate acquisition circuit,wireless transmission circuit,power supply circuit design etc..In the software part,the time domain peak RR interval algorithm of heart rate acquisition and the program of the related modules are designed,finally realize visualization display of heart rate waveform and heart rate in the upper computer.In the end,a simple PC monitoring system for health monitoring is put forward.And make a brief study and design on the organization structure,related modules,database and so on.In this paper,the structure concept design of low power strategy and heart rate signal acquisition is completed,meanwhile,the software platform of intelligent health monitoring for the aged is put forward and established.It is a future exploration of health smart wearable medical for elderly people,and it can promote the research on intelligent medical in the future.
Keywords/Search Tags:Smart wear, Heart rate, Photoplethysmographic(PPG), Signal filtering, Real time monitoring
PDF Full Text Request
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