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Health Monitoring for Elderly: An Application Using Case-Based Reasoning and Cluster Analysis
Örebro University, Sweden. (IS (Embedded Systems))ORCID iD: 0000-0003-3802-4721
Örebro University, Sweden.
Örebro University, Sweden.
2013 (English)In: ISRN Artificial Intelligence, ISSN 2090-7435, E-ISSN 2090-7443, ISRN Artificial Intelligence ISRNAI, ISSN 2356-7872, rticle ID 380239- p.Article in journal (Refereed) Published
Abstract [en]

This paper presents a framework to process and analyze data from a pulse oximeter which remotely measures pulse rate and blood oxygen saturation from a set of individuals. Using case-based reasoning (CBR) as the backbone to the framework, records are analyzed and categorized according to their similarity. Record collection has been performed using a personalized health profiling approach in which participants wore a pulse oximeter sensor for a fixed period of time and performed specific activities for pre-determined intervals. Using a variety of feature extraction methods in time, frequency, and time-frequency domains, as well as data processing techniques, the data is fed into a CBR system which retrieves most similar cases and generates an alarm according to the case outcomes. The system has been compared with an expert's classification, and a 90% match is achieved between the expert's and CBR classification. Again, considering the clustered measurements, the CBR approach classifies 93% correctly both for the pulse rate and oxygen saturation. Along with the proposed methodology, this paper provides a basis for which the system can be used in the analysis of continuous health monitoring and can be used as a suitable method in home/remote monitoring systems.

Place, publisher, year, edition, pages
Sweden, 2013. rticle ID 380239- p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-26809DOI: 10.1155/2013/380239OAI: oai:DiVA.org:mdh-26809DiVA: diva2:768008
Available from: 2014-12-02 Created: 2014-12-02 Last updated: 2017-01-25Bibliographically approved

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Ahmed, Mobyen Uddin
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