http://www.cnr.it/ontology/cnr/individuo/prodotto/ID77800
A rule-based mHealth system for cardiac monitoring (Contributo in atti di convegno)
- Type
- Label
- A rule-based mHealth system for cardiac monitoring (Contributo in atti di convegno) (literal)
- Anno
- 2010-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1109/IECBES.2010.5742217 (literal)
- Alternative label
Minutolo Aniello; Esposito Massimo; De Pietro Giuseppe; Sannino Giovanna (2010)
A rule-based mHealth system for cardiac monitoring
in 2010 IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010, Kuala Lumpur, Malaysia, 30 Novembre - 2 Dicembre 2010
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Minutolo Aniello; Esposito Massimo; De Pietro Giuseppe; Sannino Giovanna (literal)
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- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
- Note
- INSPEC (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Minutolo Aniello - Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Naples, Italy and University of Naples \"Parthenope\", Department of Technology, Naples, Italy; Sannino Giovanna - Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Naples, Italy; Esposito Massimo - Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Naples, Italy; De Pietro Giuseppe - Institute for High-Performance Computing and Networking, National Research Council (ICAR-CNR), Naples, Italy; (literal)
- Titolo
- A rule-based mHealth system for cardiac monitoring (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-1-4244-7599-5 (literal)
- Abstract
- mHealth systems are becoming very attractive for the home care monitoring and, in particular, for the monitoring of patients with heart failure. Knowledge-based technologies can be profitably used to design advanced software system able to provide efficient and dependable service to patients and physicians. In this paper we present a Rule-based Decision Support System for mHealth environments; the designed intelligent system is devised to the detection and signaling of abnormal or emergency situations by using contextual information, i.e. by correlating data coming from a wearable electrocardiography (ECG) device with information regarding patient's posture and his/her physical activities. The whole system has been developed in Java. (literal)
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