Ontology-driven monitoring of patient's vital signs enabling personalized medical detection and alert

Sensors (Switzerland)

Volumn 14, Issue 1, 2014, Pages 1598-1628

  Hristoskova, Anna ^a   Sakkalis, Vangelis ^b   Zacharioudakis, Giorgos ^b   Tsiknakis, Manolis ^b,c   De Turck, Filip ^a  

^a GHENT UNIVERSITY   (Belgium)

^b INSTITUTE OF COMPUTER SCIENCE   (Greece)

^c TECHNOLOGICAL EDUCATIONAL INSTITUTE OF CRETE   (Greece)

Author keywords

Ambient intelligence (AmI); Congestive Heart Failure (CHF); Medical alarms; Medical workflows; Quality of service (QoS); Semantic reasoning

Indexed keywords

ARTIFICIAL INTELLIGENCE; CARDIOLOGY; HEALTH RISKS; PATIENT MONITORING; SEMANTICS;

AMBIENT INTELLIGENCE; CONGESTIVE HEART FAILURES; MEDICAL ALARMS; MEDICAL WORKFLOWS; SEMANTIC REASONING;

QUALITY OF SERVICE;

EID: 84892569729     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s140101598     Document Type: Article

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