Longitudinal ambient sensor monitoring for functional health assessments: a case study

S.M.B. Robben, M. Pol, B.J.A. Kröse

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

21 Citations (Scopus)


Ambient monitoring systems offer great possibilities for health trend analysis in addition to anomaly detection. Health trend analysis helps care professionals to evaluate someones functional health and direct or evaluate the choice of interventions. This paper presents one case study of a person that was followed with an ambient monitoring system for almost three years and another of a person that was followed for over a year. A simple algorithm is applied to make a location based data representation. This data is visualized for care professionals, and used for inspecting the regularity of the pattern with means of principal component analysis (PCA). This paper provides a set of tools for analyzing longitudinal behavioral data for health assessments. We advocate a standardized data collection procedure, particularly the health metrics that could be used to validate health focused sensor data analyses.
Original languageEnglish
Title of host publicationUBICOMP '14 Adjunct proceedings (workshop: SmartHealthSys 2014)
Number of pages8
Publication statusPublished - 2014


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