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Intelligent Stress Management System

Fulltext:


Authors:

Mobyen Uddin Ahmed, Shahina Begum, Peter Funk, Ning Xiong, Bo von Schéele, Maria Lindén, Mia Folke

Research group:

Artificial Intelligence and Intelligent Systems

Publication Type:

Conference/Workshop Paper

Venue:

Medicinteknikdagarna 2009

Abstract

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.

Bibtex

@inproceedings{Ahmed1544,
author = {Mobyen Uddin Ahmed and Shahina Begum and Peter Funk and Ning Xiong and Bo von Sch{\'e}ele and Maria Lind{\'e}n and Mia Folke},
title = {Intelligent Stress Management System},
month = {September},
year = {2009},
booktitle = {Medicinteknikdagarna 2009},
url = {http://www.es.mdu.se/publications/1544-}
}