Ontology-Driven Monitoring of Patient’s Vital Signs Enabling Personalized Medical Detection and Alert

Anna Hristoskova; Vangelis Sakkalis; Giorgos Zacharioudakis; Manolis Tsiknakis; Filip Turck

Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers

Research Article

Ontology-Driven Monitoring of Patient’s Vital Signs Enabling Personalized Medical Detection and Alert

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@INPROCEEDINGS{10.1007/978-3-642-29734-2_30,
    author={Anna Hristoskova and Vangelis Sakkalis and Giorgos Zacharioudakis and Manolis Tsiknakis and Filip Turck},
    title={Ontology-Driven Monitoring of Patient’s Vital Signs Enabling Personalized Medical Detection and Alert},
    proceedings={Wireless Mobile Communication and Healthcare. Second International ICST Conference, MobiHealth 2011, Kos Island, Greece, October 5-7, 2011. Revised Selected Papers},
    proceedings_a={MOBIHEALTH},
    year={2012},
    month={10},
    keywords={Medical workflows Ambient Intelligence Semantic reasoning Medical Ontologies Medical Alarm Quality of Service (QoS)},
    doi={10.1007/978-3-642-29734-2_30}
}

Anna Hristoskova
Vangelis Sakkalis
Giorgos Zacharioudakis
Manolis Tsiknakis
Filip Turck
Year: 2012
Ontology-Driven Monitoring of Patient’s Vital Signs Enabling Personalized Medical Detection and Alert
MOBIHEALTH
Springer
DOI: 10.1007/978-3-642-29734-2_30

Anna Hristoskova, Vangelis Sakkalis¹^,*, Giorgos Zacharioudakis¹^,*, Manolis Tsiknakis¹^,*, Filip Turck²^,*

1: FORTH-ICS
2: Ghent University

*Contact email: sakkalis@ics.forth.gr, gzaxar@ics.forth.gr, tsiknaki@ics.forth.gr, filip.deturck@intec.UGent.be

Abstract

A major challenge related to caring for patients with chronic conditions is the early detection of exacerbations of the disease that may be of great significance. The dedicated clinical personnel should be contacted immediately and possibly intervene in time before an acute state is reached, by changing medication, or any other interventions, in order to ensure patient safety. This paper presents an Ambient Intelligence (AmI) framework supporting real-time remote monitoring of patients diagnosed with congestive heart failure. The remote monitoring environment, enhanced with semantic technologies, provides a personalized, accurate and fully automated emergency alerting system that smoothly interacts with the personal physician, regardless his/her physical location in order to ensure in time intervention in case of an emergency. The proposed framework is able to change context at runtime in case new medical services are registered, new rules are defined, or in case of network overload and failure situations.

Keywords: Medical workflows Ambient Intelligence Semantic reasoning Medical Ontologies Medical Alarm Quality of Service (QoS)

Published: 2012-10-08

: http://dx.doi.org/10.1007/978-3-642-29734-2_30