A mobile fall alert platform for the elderly based on physiological monitoring and fall tendency modeling

Author

Min Li ; Xiangcun Wang ; Yang Li ; Lianghang Dou ; Houwei Ji

Author_Institution

Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai, China

fYear

2014

fDate

28-30 July 2014

Firstpage

614

Lastpage

619

Abstract

With the increase of aging population, medical healthcare based on mobile phone has become a hot research topic. In this paper, a mobile health surveillance platform for monitoring physiological parameters of the elderly was implemented and a corresponding physiological tendency model for fall alert was proposed, which can help prevent falls for the elderly by setting up suitable thresholds. A program for signals processing was developed to realize the display, storage, and optimization of pulse waveform. Through data analysis, an early warning can be generated to help prevent falls caused by disease-related factors. The effectiveness of physiological monitoring and physiological tendency model for health surveillance of the elderly has been validated by experiment results.

Keywords

geriatrics; health care; medical signal processing; mobile computing; patient monitoring; physiological models; disease-related factors; elderly physiological monitoring; fall tendency modeling; medical healthcare; mobile fall alert platform; mobile health surveillance platform; mobile phone; physiological tendency model; pulse waveform; signal processing; Biomedical monitoring; Bluetooth; Mobile communication; Mobile handsets; Monitoring; Senior citizens; Fall alert; Medical healthcare; Physiological monitoring; Pulse waveform;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Automation (ICIA), 2014 IEEE International Conference on

Conference_Location

Hailar

Type

conf

DOI

10.1109/ICInfA.2014.6932727

Filename

6932727