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Intelligent Signal Analysis Using Case-Based Reasoning for Decision Support in Stress Management

Publication Type:

Book chapter

Venue:

Computational Intelligence in Healthcare 4

Publisher:

Springer-Verlag Berlin Heidelberg


Abstract

The complexity of modern lifestyle and society brings many advantages but also causes increased levels of stress for many people. It is known that increased exposure to stress may cause serious health problems if undiagnosed and untreated and a report from the Swedish government estimates that 1/3 of all long term sick leave is stress related. One of the physiological parameters for quantifying stress levels is the finger temperature that helps the clinician in diagnosis and treatment of stress. However, in practice, the complex and varying nature of signals makes it difficult and tedious to interpret and analyze the lengthy sequential measurements. A computer based system diagnosing stress would be valuable both for clinicians and for treatment. Since stress diagnosis has a week domain theory and there are large individual variations, Case-Based Reasoning is proposed as the main methodology. Feature extraction methods abstracting the original signals without losing key features are investigated. A fuzzy technique is also incorporated into the system to perform matching between the features derived from signals to better accommodate vagueness, uncertainty often present in clinical reasoning Validation of the approach is based on close collaboration with experts and measurements from twenty four persons. The system formulates a new problem case with 17 extracted features from the fifteen minutes (1800 samples) of biomedical sensor data. Thirty nine time series from twenty four persons have been used to evaluate the approach (matching algorithms) in which the system shows a level of performance close to an experienced expert. The system can be used as an expert for a less experienced clinician, as a second option for an experienced clinician or for treatment in home environment.

Bibtex

@incollection{Begum2857,
author = {Shahina Begum and Mobyen Uddin Ahmed and Ning Xiong and Peter Funk},
title = {Intelligent Signal Analysis Using Case-Based Reasoning for Decision Support in Stress Management},
isbn = {978-3-642-14463-9},
editor = {Isabelle Bichindaritz, Sachin Vaidya, Ashlesha Jain and Lakhmi C. Jain},
pages = {159--189},
month = {January},
year = {2010},
booktitle = {Computational Intelligence in Healthcare 4},
publisher = {Springer-Verlag Berlin Heidelberg },
url = {http://www.es.mdh.se/publications/2857-}
}