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A Personalized Health-Monitoring System for Elderly by Combining Rules and Case-based Reasoning
Mälardalens högskola, Akademin för innovation, design och teknik, Inbyggda system.ORCID-id: 0000-0003-3802-4721
2015 (engelsk)Inngår i: Studies in Health Technology and Informatics, Volume 21: Proceedings of the 12th International Conference on Wearable Micro and Nano Technologies for Personalized Health, 2–4 June 2015, Västerås, Sweden, 2015, s. 249-254Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Health-monitoring system for elderly in home environment is a promising solution to provide efficient medical services that increasingly interest by the researchers within this area. It is often more challenging when the system is self-served and functioning as personalized provision. This paper proposed a personalized self-served health-monitoring system for elderly in home environment by combining general rules with a case-based reasoning approach. Here, the system generates feedback, recommendation and alarm in a personalized manner based on elderly’s medical information and health parameters such as blood pressure, blood glucose, weight, activity, pulse, etc. A set of general rules has used to classify individual health parameters. The case-based reasoning approach is used to combine all different health parameters, which generates an overall classification of health condition. According to the evaluation result considering 323 cases and k=2 i.e., top 2 most similar retrieved cases, the sensitivity, specificity and overall accuracy are achieved as 90%, 97% and 96% respectively. The preliminary result of the system is acceptable since the feedback; recommendation and alarm messages are personalized and differ from the general messages. Thus, this approach could be possibly adapted for other situations in personalized elderly monitoring.

sted, utgiver, år, opplag, sider
2015. s. 249-254
Serie
Studies in Health Technology and Informatics, ISSN 0926-9630 ; 211
Emneord [en]
Health-monitoring system, elderly, personalized, case-based reasoning, general rules
HSV kategori
Identifikatorer
URN: urn:nbn:se:mdh:diva-28145DOI: 10.3233/978-1-61499-516-6-249ISI: 000455821300025Scopus ID: 2-s2.0-84939237015OAI: oai:DiVA.org:mdh-28145DiVA, id: diva2:818585
Konferanse
12th International Conference on Wearable Micro and Nano Technologies for Personalized Health pHealth 2015, 2-4 Jun 2015, Västerås, Sweden
Prosjekter
ESS-H - Embedded Sensor Systems for Health Research ProfileTilgjengelig fra: 2015-06-09 Laget: 2015-06-08 Sist oppdatert: 2019-06-18bibliografisk kontrollert

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