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Individualized Stress Diagnosis Using Calibration and 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: Proceedings of the 24th annual workshop of the Swedish Artificial Intelligence Society, Borås, Sweden, 2007, p. 59-69Conference paper, Published paper (Refereed)
Abstract [en]

Diagnosing stress is difficult even for experts due to large individual variations. Clinician's use today manual test procedures where they measure blood pressure, ECG, finger temperature and breathing speed during a number of exercises. An experienced clinician makes diagnosis on different readings shown in a computer screen. There are only very few experts who are able to diagnose and predict stress-related problems. In this paper we have proposed a combined approach based on a calibration phase and case-based reasoning to provide assistance in diagnosing stress, using data from the finger temperature sensor readings. The calibration phase helps to establish a number of individual parameters. The system uses a case-based reasoning approach and also feedback on how well the patient succeeded with the different test, used for giving similar cases reliability estimates.

Place, publisher, year, edition, pages
2007. p. 59-69
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-7002OAI: oai:DiVA.org:mdh-7002DiVA, id: diva2:237012
Conference
24th annual workshop of the Swedish Artificial Intelligence Society, Borås, Sweden
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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