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Author Hajihashemi, Z. ♦ Yefimova, M. ♦ Popescu, M.
Sponsorship IEEE Eng. Med. Biol. Soc.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2014
Language English
Subject Domain (in DDC) Technology ♦ Medicine & health ♦ Engineering & allied operations
Subject Keyword Clustering algorithms ♦ Medical services ♦ Time series analysis ♦ Monitoring ♦ Firing ♦ Biomedical monitoring ♦ Educational institutions
Abstract The aim of this paper is to develop an algorithm to identify deviations in patterns of day-to-day activities of older adults to generate alerts to the healthcare providers for timely interventions. Daily routines, such as bathroom visits, can be monitored by automated in-home sensor systems. We present a novel approach that finds periodicity in sensor time series data using clustering approach. For this study, we used data set from TigerPlace, a retirement community in Columbia, MO, where apartments are equipped with a network of motion, pressure and depth sensors. A retrospective multiple case study (N=3) design was used to quantify bathroom visits as parts of the older adult's daily routine, over a 10-day period. The distribution of duration, number, and average time between sensor hits was used to define the confidence level for routine visit extraction. Then, a hierarchical clustering was applied to extract periodic patterns. The performance of the proposed method was evaluated through experimental results.
Description Author affiliation: Sch. of Nursing, Univ. of California, Los Angeles, Los Angeles, CA, USA (Yefimova, M.) || Comput. Sci. Dept., Univ. of Missouri, Columbia, MO, USA (Hajihashemi, Z.) || HMI Dept., Univ. of Missouri, Columbia, MO, USA (Popescu, M.)
ISBN 9781424479290
ISSN 1557170X
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2014-08-26
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 793.30 kB
Page Count 4
Starting Page 5912
Ending Page 5915

Source: IEEE Xplore Digital Library