Dissertation
Dissertation > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Mobile Communications

A Mobile Health Monitoring System for the Elderly

Author QinXiaoHua
Tutor YuanKeHong
School Tsinghua University
Course Biomedical Engineering
Keywords mobile monitoring heart-rate detect fall detect sensor network
CLC TN929.5
Type Master's thesis
Year 2010
Downloads 53
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Recent years, with the growth of aged population and more and more young people residenting and working far from their parents, many old people have to live their lives alone. In this case, the health monitoring of aged people is becoming increasingly important.This paper focuses on designing a mobile health monitoring system with the functions of heart-rate detection, fall detection, GPS locating and auto-calling for help when health emergency happen to aged people.First, the whole solution to the mobile health monitoring system is designed. Hierarchical structure is adopted in this system. The various sensing units form the 1st layer, which collect physiological data from people and analysis in real-time. The 2nd layer is a mobile terminal, in charge of sensor data collection, transmission, emergency auto-calling and GPS locating. The 3rd layer is the monitoring software distributed on remote servers. The software could receive data from mobile terminal and save data into databases. The sensor layer communicates with the mobile terminal through a star-topology 2.4GHz RF network, while the mobile terminal transmits data to the server layer through GPRS based TCP/IP transmission. In an emergency the GPS module on the mobile terminal gives the location information.The mobile terminal integrates the following module: the center node of the wireless sensor network, the GPS locating module, the user interface and the GPRS/GSM module.Solutions for fall detection and heart-rate detection are designed respectively. In fall detection unit, a thresholding method based on four features is the main algorithm to detect fall from other actions. Two solutions are proposed for detecting real-time heart-rate, the wrist sphygmus based solution and the non-standard ECG based solution.

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