Context aware sensing for health monitoring

F. Landete; W. Chen; S. Bouwstra; L.M.G. Feijs; S. Bambang Oetomo

Context aware sensing for health monitoring

F. Landete
, W. Chen
, S. Bouwstra
, L.M.G. Feijs
, S. Bambang Oetomo

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

4 Downloads (Pure)

Abstract

Health Monitoring systems with textile sensors offer more comfort compared to gel electrodes, however they tend to suffer from poor skin contact and motion artifacts. In order to improve the monitoring reliability, we propose to apply multiple sensors and context aware sensing. A context aware monitoring system can adapt monitoring according to changes in the environment and the behavior of people. In this paper, we propose a method with a Context Aware Selection Algorithm (CASA) to select the best signals obtained from multiple textile sensors, and thereby enhancing the reliability of electrocardio-gram (ECG) monitoring. In experiments with adult participants we found that CASA indeed enhances continuous monitoring by selecting the best quality ECG derivation which varies with the context, in this case the posture of the participant. CASA is suitable for embedding in the smart jacket, which is a comfortable monitoring system for babies admitted to the Neonatal Intensive Care Unit (NICU).

Original language	English
Title of host publication	Proceedings of 34th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society, 28 August- 1 September 2012, San Diego, California, USA
Place of Publication	San Diego, USA
Publisher	Institute of Electrical and Electronics Engineers
Pages	1294-1297
ISBN (Print)	978-1-4577-1787-1
Publication status	Published - 2012
Event	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012 - "Hilton San Diego Bayfront", San Diego, United States Duration: 28 Aug 2012 → 1 Sept 2012 Conference number: 34

Conference

Conference	34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012
Abbreviated title	EMBC 2012
Country/Territory	United States
City	San Diego
Period	28/08/12 → 1/09/12

Cite this

Landete, F., Chen, W., Bouwstra, S., Feijs, L. M. G., & Bambang Oetomo, S. (2012). Context aware sensing for health monitoring. In Proceedings of 34th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society, 28 August- 1 September 2012, San Diego, California, USA (pp. 1294-1297). Institute of Electrical and Electronics Engineers.

@inproceedings{133aa2c8b54049e3856337728a29b830,

title = "Context aware sensing for health monitoring",

abstract = "Health Monitoring systems with textile sensors offer more comfort compared to gel electrodes, however they tend to suffer from poor skin contact and motion artifacts. In order to improve the monitoring reliability, we propose to apply multiple sensors and context aware sensing. A context aware monitoring system can adapt monitoring according to changes in the environment and the behavior of people. In this paper, we propose a method with a Context Aware Selection Algorithm (CASA) to select the best signals obtained from multiple textile sensors, and thereby enhancing the reliability of electrocardio-gram (ECG) monitoring. In experiments with adult participants we found that CASA indeed enhances continuous monitoring by selecting the best quality ECG derivation which varies with the context, in this case the posture of the participant. CASA is suitable for embedding in the smart jacket, which is a comfortable monitoring system for babies admitted to the Neonatal Intensive Care Unit (NICU).",

author = "F. Landete and W. Chen and S. Bouwstra and L.M.G. Feijs and \{Bambang Oetomo\}, S.",

year = "2012",

language = "English",

isbn = "978-1-4577-1787-1",

pages = "1294--1297",

booktitle = "Proceedings of 34th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society, 28 August- 1 September 2012, San Diego, California, USA",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, EMBC 2012 ; Conference date: 28-08-2012 Through 01-09-2012",

}

Landete, F, Chen, W, Bouwstra, S, Feijs, LMG & Bambang Oetomo, S 2012, Context aware sensing for health monitoring. in Proceedings of 34th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society, 28 August- 1 September 2012, San Diego, California, USA. Institute of Electrical and Electronics Engineers, San Diego, USA, pp. 1294-1297, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012, San Diego, California, United States, 28/08/12.

Context aware sensing for health monitoring. / Landete, F.; Chen, W.; Bouwstra, S. et al.
Proceedings of 34th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society, 28 August- 1 September 2012, San Diego, California, USA. San Diego, USA: Institute of Electrical and Electronics Engineers, 2012. p. 1294-1297.

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

TY - GEN

T1 - Context aware sensing for health monitoring

AU - Landete, F.

AU - Chen, W.

AU - Bouwstra, S.

AU - Feijs, L.M.G.

AU - Bambang Oetomo, S.

N1 - Conference code: 34

PY - 2012

Y1 - 2012

N2 - Health Monitoring systems with textile sensors offer more comfort compared to gel electrodes, however they tend to suffer from poor skin contact and motion artifacts. In order to improve the monitoring reliability, we propose to apply multiple sensors and context aware sensing. A context aware monitoring system can adapt monitoring according to changes in the environment and the behavior of people. In this paper, we propose a method with a Context Aware Selection Algorithm (CASA) to select the best signals obtained from multiple textile sensors, and thereby enhancing the reliability of electrocardio-gram (ECG) monitoring. In experiments with adult participants we found that CASA indeed enhances continuous monitoring by selecting the best quality ECG derivation which varies with the context, in this case the posture of the participant. CASA is suitable for embedding in the smart jacket, which is a comfortable monitoring system for babies admitted to the Neonatal Intensive Care Unit (NICU).

AB - Health Monitoring systems with textile sensors offer more comfort compared to gel electrodes, however they tend to suffer from poor skin contact and motion artifacts. In order to improve the monitoring reliability, we propose to apply multiple sensors and context aware sensing. A context aware monitoring system can adapt monitoring according to changes in the environment and the behavior of people. In this paper, we propose a method with a Context Aware Selection Algorithm (CASA) to select the best signals obtained from multiple textile sensors, and thereby enhancing the reliability of electrocardio-gram (ECG) monitoring. In experiments with adult participants we found that CASA indeed enhances continuous monitoring by selecting the best quality ECG derivation which varies with the context, in this case the posture of the participant. CASA is suitable for embedding in the smart jacket, which is a comfortable monitoring system for babies admitted to the Neonatal Intensive Care Unit (NICU).

M3 - Conference contribution

SN - 978-1-4577-1787-1

SP - 1294

EP - 1297

BT - Proceedings of 34th Annual International IEEE EMBS Conference of the IEEE Engineering in Medicine and Biology Society, 28 August- 1 September 2012, San Diego, California, USA

PB - Institute of Electrical and Electronics Engineers

CY - San Diego, USA

T2 - 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2012

Y2 - 28 August 2012 through 1 September 2012

ER -

Context aware sensing for health monitoring

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