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Case Based Reasoning method for analysing Physiological sensor data
Örebro University, School of Science and Technology, Örebro University, Sweden.
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Remote healthcare is a demanding as well as emergent research area. The rise of healthcare costs in the developed countries have made the policy makers for trying to find an alternate model of healthcare rather than relying on traditional healthcare system. Although advancement in the sensor technology, forthcomingness of devices like smart phones and improvement in artificial intelligence technology have made the remote healthcare close to reality but still there are plenty of issues to be solved before it becomes a commonly used healthcare model. In this thesis, studies of two vital physiological parameters pulse rate and oxygen saturation were done to unearth some patterns using Case-Based Reasoning technique. A three-tiered application is developed focusing remote healthcare. The results of the thesis could be used as a starting point of further research of two above mentioned physiological parameters in order to detect anomalous condition of health.

Place, publisher, year, edition, pages
Keyword [en]
Case Based Reasoning, Pulse-Oximeter, Remote health monitoring
National Category
Computer Science
URN: urn:nbn:se:oru:diva-27725OAI: diva2:608266
Subject / course
Computer Engineering
2012-12-20, T111, Örebro University, Örebro, 10:15 (English)
Available from: 2013-08-05 Created: 2013-02-26 Last updated: 2013-08-05Bibliographically approved

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Thesis(1624 kB)69 downloads
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Type fulltextMimetype application/pdf

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School of Science and Technology, Örebro University, Sweden
Computer Science

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