Design And Implementation Of Home Health Management System Based On Android And Multi Sign Data Analysis

With the development of science and technology,as well as the acceleration of the aging process of population,more and more household health care equipment began to appear,and drew more attention than ever before.Blood pressure meter,blood glucose meter,weight meter,fall detection equipment and so on,in order to provide people with convenience,but also they brought some problems,such as a wide range of devices,users having a strong sense of intrusion,etc.On the other hand,the measurement of medical equipment with a certain degree of independence,it is difficult to take a period of health data to be used,due to the complexity of the physical data,and also the lack of a comprehensive management software.Therefore,this paper aims to achieve a good aggregation of home health management system,so that it can be compatible with different types and different manufacturers of medical equipment.At the same time,the management software can be used to measure the value of a variety of physical data analysis results,and can effectively organize the user measured historical data to predict the future development of health.In addition,the system integrates the fall detection function and can locate the alarm when the user falls.Therefore,the main work of this paper is as follows.Home health system in data measurement,can support the ISO/IEEE 11073 standard based on medical equipment,and can be compatible with non-standard medical equipment.The system distinguishes two kinds of devices from the way of the Bluetooth connection,and carries on the correspondence to the standard equipment using the Bluetooth HDP which provides by the Android,and has completed the standard data analysis using the technology of the AIDL.The system has increased the support of multiuser,and set up the server software to make the user's health data can be backed up in the cloud,and also solve the problem of data synchronization.In the data analysis,the system uses the corresponding medical and health standards to judge the measurement data.In health prediction,the system makes use of the grey model prediction algorithm and makes the two calculation of the mutation that is easy to occur.The prediction result has a relatively high accuracy,which has a certain reference value for the user to detect their physical condition.Finally,this paper studied the fall detection algorithm based on Android,realize the judgment of the three threshold algorithm,the threshold is compared with the traditional detection methods,increase the computational speed of the diagonal,first determine the acceleration threshold by,then determine the angular velocity and angular velocity threshold,taking the vector norm and linear fitting and integral characteristic quantity checked.The three stage prediction method effectively reduces the false positive rate.And the system will ask the user to confirm the actual situation,so as to avoid false positives.The fall detection module also utilizes the positioning technology based on mobile phone GPS to support positioning and alarm for users.