DocumentCode :
621876
Title :
Longitudinal residential ambient monitoring: Correlating sensor data to functional health status
Author :
Robben, Saskia ; Krose, Ben
Author_Institution :
Amsterdam Univ. of Appl. Sci., Amsterdam, Netherlands
fYear :
2013
fDate :
5-8 May 2013
Firstpage :
244
Lastpage :
247
Abstract :
Wireless sensor networks are becoming popular in the field of ambient assisted living. In this paper we report our study on the relationship between a functional health metric and features derived from the sensor data. Sensor systems are installed in the houses of nine people who are also quarterly visited by an occupational therapist for functional health assessments. Different features are extracted and these are correlated with a metric of functional health (the AMPS motor). Though the sample is small, the results indicate that some features are better in describing the functional health in the population, but individual differences should also be taken into account when developing a sensor system for functional health assessment.
Keywords :
health care; occupational health; wireless sensor networks; ambient assisted living; functional health assessment; functional health metric; functional health status; longitudinal residential ambient monitoring; occupational therapist; sensor data; wireless sensor networks; Biomedical measurement; Databases; Monitoring; Sensors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2013 7th International Conference on
Conference_Location :
Venice
Print_ISBN :
978-1-4799-0296-5
Electronic_ISBN :
978-1-936968-80-0
Type :
conf
Filename :
6563933
Link To Document :
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