An automatic rules extraction approach to support OSA events detection in a mHealth system (Articolo in rivista)

Type
Label
  • An automatic rules extraction approach to support OSA events detection in a mHealth system (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/JBHI.2014.2311325 (literal)
Alternative label
  • Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro (2014)
    An automatic rules extraction approach to support OSA events detection in a mHealth system
    in IEEE Journal of Biomedical and Health Informatics; IEEE, New York (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Giovanna Sannino, Ivanoe De Falco, Giuseppe De Pietro (literal)
Pagina inizio
  • 1518 (literal)
Pagina fine
  • 1524 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 18 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 7 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 5 (literal)
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  • CNR - ICAR (literal)
Titolo
  • An automatic rules extraction approach to support OSA events detection in a mHealth system (literal)
Abstract
  • Detection and real-time monitoring of Obstructive Sleep Apnea (OSA) episodes are very important tasks in healthcare. To suitably face them, this paper proposes an easy-touse, cheap mobile-based approach relying on three steps. Firstly, single-channel ECG data from a patient are collected by a wearable sensor and are recorded on a mobile device. Secondly, the automatic extraction of knowledge about that patient takes place offline, and a set of IF...THEN rules containing Heart Rate Variability (HRV) parameters is achieved. Thirdly, these rules are used in our real-time mobile monitoring system: the same wearable sensor collects the single-channel ECG data and sends them to the same mobile device, which now processes those data online to compute HRV-related parameter values. If these values activate one of the rules found for that patient, an alarm is immediately produced. This approach has been tested on a literature database with thirty-five OSA patients. A comparison against five well-known classifiers has been carried out. (literal)
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