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Design And Implementation Of Daily Blood Pressure Monitoring Warning Systems Based On Android And Cloud

Posted on:2017-09-27Degree:MasterType:Thesis
Country:ChinaCandidate:X S LiuFull Text:PDF
GTID:2348330518996580Subject:Information and Communication Engineering
Abstract/Summary:PDF Full Text Request
In recent year,with the development of aging,the rate of the incidence of hypertension is high.Hypertension is the reason of many other diseases,so the collection and analysis of the hypertension data is of great importance for prevention of hypertension and many other syndromes.But how to collect the real-time data,how to store the data and how to analysis it or how to forecast the trends is still a big question needing to be solved.With the development of cloud computing,the Internet of things and the "Internet plus",4G can be used everywhere,which make it possible for the popularize of Android and wearable smart devices,these all provide convenience for our solution.The blood pressure collection system based on Android solve the problem through three methods,it can collect the data,analyze the data and make the warning,and it needs to collect data,store data and analyze data.This system can collect the data accurately,and transfer it smoothly which make the analyze quick and effective,and it is extensible,too.There are three main work in this research,they are about the data collection,data storage and data algorithm.As for the data collection aspect,the system analyzes the protocol of the Bluetooth sphygmomanometer,designs the Android-based platform to collect the data,which support a variety of Bluetooth protocol,the system designs a protocol to make it fit for different devices by abstracting the upper working process.For the data storage aspect,the Android device update the data to the cloud using Internet,and we design a database cluster using MongoDB,which can be horizontal expanded.For the data algorithm aspect,by analyzing the characteristics of the blood pressure data,we use the time series prediction method,which makes the prediction more accurate.At last,we complete the design of the interface and make it visible for the recording of historical data and warning,we also complete the testing work.This article combines Android,Bluetooth and the cloud platform,and realizes the functions of data collection,data storage and data analyzing.The collection part supports a variety of Bluetooth-devices,the storage part is extensible and the warning part can analyze the patients' diseases well.The implementation of this system is of great significance for the collection and analysis of big data in medicine field.
Keywords/Search Tags:Android, Bluetooth, cloud, scalability, time-series
PDF Full Text Request
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