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Journal articles

Remote Monitoring of Cardiac Implantable Devices: Ontology Driven Classification of the Alerts

Arnaud Rosier 1 Philippe Mabo 2, 3, 1 Lynda Temal 3 Pascal van Hille 3 Olivier Dameron 4 Louise Deléger 5 Cyril Grouin 5 Pierre Zweigenbaum 5 Julie Jacques 6 Emmanuel Chazard 7 Laure Laporte 8 Christine Henry 8 Anita Burgun 9, 10, 11 
1 CIC-IT Rennes
2 Service de cardiologie et maladies vasculaires [Rennes] = Cardiac, Thoracic, and Vascular Surgery [Rennes]
3 LTSI - Laboratoire Traitement du Signal et de l'Image
4 Dyliss - Dynamics, Logics and Inference for biological Systems and Sequences
Inria Rennes – Bretagne Atlantique , IRISA-D7 - GESTION DES DONNÉES ET DE LA CONNAISSANCE
5 LIMSI - Laboratoire d'Informatique pour la Mécanique et les Sciences de l'Ingénieur
6 Alicante [Seclin]
7 Université de Lille, Droit et Santé
8 Sorin Group [Clamart]
9 HEGP - Hôpital Européen Georges Pompidou [APHP]
10 CRC (UMR_S 872) - Centre de Recherche des Cordeliers
11 CRC - Centre de Recherche des Cordeliers
Abstract : The number of patients that benefit from remote monitoring of cardiac implantable electronic devices, such as pacemakers and defibrillators, is growing rapidly. Consequently, the huge number of alerts that are generated and transmitted to the physicians represents a challenge to handle. We have developed a system based on a formal ontology that integrates the alert information and the patient data extracted from the electronic health record in order to better classify the importance of alerts. A pilot study was conducted on atrial fibrillation alerts. We show some examples of alert processing. The results suggest that this approach has the potential to significantly reduce the alert burden in telecardiology. The methods may be extended to other types of connected devices
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Journal articles
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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01319949
Contributor : Laurent Jonchère Connect in order to contact the contributor
Submitted on : Monday, May 23, 2016 - 11:47:05 AM
Last modification on : Saturday, June 25, 2022 - 10:20:38 PM

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UNIV-PARIS5 | UNIV-PARIS7 | INSTITUT-TELECOM | UPMC | EPHE | UNIV-RENNES1 | CNRS | INRIA | INSA-RENNES | IRISA | LTSI | LIMSI | CIC | CORDELIERS | CENTRALESUPELEC | IRISA-D7 | INRIA2 | UR1-UFR-SVE | PSL | USPC | UR1-MATH-STIC | UNIV-PARIS-SACLAY | UR1-UFR-ISTIC | UNIV-RENNES | SORBONNE-UNIVERSITE | SU-SCIENCES | UNIV-PARIS | UP-SANTE | UR1-MATH-NUM | UR1-BIO-SA | LISN | GS-ENGINEERING | GS-COMPUTER-SCIENCE

Citation

Arnaud Rosier, Philippe Mabo, Lynda Temal, Pascal van Hille, Olivier Dameron, et al.. Remote Monitoring of Cardiac Implantable Devices: Ontology Driven Classification of the Alerts. Studies in Health Technology and Informatics, IOS Press, 2016, 221, pp.59--63. ⟨10.3233/978-1-61499-633-0-59⟩. ⟨hal-01319949⟩

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