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

Saskia Robben; Margriet Pol; Ben  Kröse

doi:10.1145/2638728.2638812

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

21 Citations (Scopus)

Abstract

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 language	English
Title of host publication	UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	1209-1216
ISBN (Print)	9781450330473
DOIs	https://doi.org/10.1145/2638728.2638812
Publication status	Published - 2014
Event	The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing - Seattle, United States Duration: 13 Sept 2014 → 17 Sept 2014

Conference

Conference	The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing
Abbreviated title	UbiComp '14
Country/Territory	United States
City	Seattle
Period	13/09/14 → 17/09/14

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@inproceedings{2c50eb02eabc4c30a13b92567f7844c1,

title = "Longitudinal ambient sensor monitoring for functional health assessments: a case study",

abstract = "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.",

keywords = "Activity Monitoring, Ambient Intelligence, Health Care, Sensor Networks, Trend Analysis, Aging in Place, Assessment",

author = "Saskia Robben and Margriet Pol and Ben Kr{\"o}se",

note = "Workshop session: SmartHealthSys 2014. ; The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '14 ; Conference date: 13-09-2014 Through 17-09-2014",

year = "2014",

doi = "10.1145/2638728.2638812",

language = "English",

isbn = "9781450330473",

pages = "1209--1216",

booktitle = "UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication",

publisher = "Association for Computing Machinery",

}

Robben, S , Pol, M & Kröse, B 2014, Longitudinal ambient sensor monitoring for functional health assessments: a case study. in UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. Association for Computing Machinery, New York, pp. 1209-1216, The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Seattle, United States, 13/09/14. https://doi.org/10.1145/2638728.2638812

Longitudinal ambient sensor monitoring for functional health assessments: a case study. / Robben, Saskia ; Pol, Margriet ; Kröse, Ben .
UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication. New York: Association for Computing Machinery, 2014. p. 1209-1216.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Longitudinal ambient sensor monitoring for functional health assessments: a case study

AU - Robben, Saskia

AU - Pol, Margriet

AU - Kröse, Ben

N1 - Workshop session: SmartHealthSys 2014.

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Activity Monitoring

KW - Ambient Intelligence

KW - Health Care

KW - Sensor Networks

KW - Trend Analysis

KW - Aging in Place

KW - Assessment

UR - https://dl.acm.org/doi/proceedings/10.1145/2638728

U2 - 10.1145/2638728.2638812

DO - 10.1145/2638728.2638812

M3 - Conference contribution

SN - 9781450330473

SP - 1209

EP - 1216

BT - UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

PB - Association for Computing Machinery

CY - New York

T2 - The 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Y2 - 13 September 2014 through 17 September 2014

ER -

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

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