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Classify and Diagnose Individual Stress Using Calibration and Fuzzy Case-Based Reasoning
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0002-1212-7637
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0003-3802-4721
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0002-5562-1424
Mälardalen University, Department of Computer Science and Electronics.ORCID iD: 0000-0001-9857-4317
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2007 (English)In: Case-Based Reasoning Research and Development: 7th International Conference on Case-Based Reasoning, ICCBR 2007 Belfast, Northern Ireland, UK, August 13-16, 2007 Proceedings, Springer, 2007, p. 478-491Chapter in book (Refereed)
Abstract [en]

Increased exposure to stress may cause health problems. An experi-enced clinician is able to diagnose a person's stress level based on sensor read-ings. Large individual variations and absence of general rules make it difficult to diagnose stress and the risk of stress-related health problems. A decision sup-port system providing clinicians with a second opinion would be valuable. We propose a novel solution combining case-based reasoning and fuzzy logic along with a calibration phase to diagnose individual stress. During calibration a num-ber of individual parameters are established. The system also considers the feedback from the patient on how well the test was performed. The system uses fuzzy logic to incorporating the imprecise characteristics of the domain. The cases are also used for the individual treatment process and transfer experience between clinicians. The validation of the approach is based on close collabora-tion with experts and measurements from 24 persons used as reference.

Place, publisher, year, edition, pages
Springer, 2007. p. 478-491
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 4626
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-7001DOI: 10.1007/978-3-540-74141-1_33ISI: 000249814900033ISBN: 978-3-540-74138-1 (print)OAI: oai:DiVA.org:mdh-7001DiVA, id: diva2:237011
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2017-01-25Bibliographically approved

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Begum, ShahinaAhmed, Mobyen UddinFunk, PeterXiong, Ning

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CiteExportLink to record
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Citation style
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