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Intelligent Stress Management System
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-3802-4721
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-1212-7637
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5562-1424
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-9857-4317
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2009 (English)In: Medicinteknikdagarna 2009, 2009Conference paper, Published paper (Refereed)
Abstract [en]

Today, in our daily life we are subjected to a wide range of pressures. When the pressures exceed the extent that we are able to deal with then stress is trigged. High level of stress may cause serious health problems i.e. it reduces awareness of bodily symptoms. So, people may first notice it weeks or months later meanwhile the stress could cause more serious effect in the body and health. A difficult issue in stress management is to use biomedical sensor signals in the diagnosis and treatment of stress. This paper presents a case-based system that assists a clinician in diagnosis and treatment of stress. The system uses a finger temperature sensor and the variation in the finger temperature is one of the key features in the system. Several artificial intelligence techniques such as textual information retrieval, rule-based reasoning (RBR), and fuzzy logic have been combined together with case-based reasoning to enable more reliable and efficient diagnosis and treatment of stress. The performance has been validated implementing a research prototype and close collaboration with experts.

Place, publisher, year, edition, pages
2009.
National Category
Medical Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-9067OAI: oai:DiVA.org:mdh-9067DiVA, id: diva2:301638
Available from: 2010-03-03 Created: 2010-03-03 Last updated: 2017-01-26Bibliographically approved

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Ahmed, Mobyen UddinBegum, ShahinaFunk, PeterXiong, NingLindén, MariaFolke, Mia

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Ahmed, Mobyen UddinBegum, ShahinaFunk, PeterXiong, NingLindén, MariaFolke, Mia
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