Paper Info
Title
An integrated system based on physiological signals for the assessment of affective states in patients with anxiety disorders.
Abstract
Anxiety disorders are psychiatric disorders characterized by a constant and abnormal anxiety that interferes with daily-life activities. Their high prevalence in the general population and the severe limitations they cause have drawn attention to the development of new and efficient strategies for their treatment. In this work we describe the INTREPID system which provides an innovative and intelligent solution for the monitoring of patients with anxiety disorders during therapeutic sessions. It recognizes an individual's affective state based on 5 pre-defined classes (relaxed, neutral, startled, apprehensive and very apprehensive), from physiological data collected via non-invasive technologies (blood volume pulse, heart rate, galvanic skin response and respiration). The system is validated using data obtained through an emotion elicitation experiment based on the International Affective Picture System. Four different classification algorithms are implemented (Artificial Neural Networks, Support Vector Machines, Random Forests and a Neuro-Fuzzy System). The overall classification accuracy achieved is 84.3%.
Year
DOI
Venue
2011
10.1016/j.bspc.2010.12.001
Biomedical Signal Processing and Control
Keywords
Field
DocType
Anxiety disorders,Biosignal processing,Wearable devices
Population,Anxiety,Cognitive psychology,Artificial intelligence,Wearable technology,International Affective Picture System,Random forest,Artificial neural network,Pattern recognition,Psychiatry,Statistical classification,Affect (psychology),Mathematics
Journal
Volume
Issue
ISSN
6
3
1746-8094
Citations 
PageRank 
References 
22
1.27
13
Authors
3
Name
Order
Citations
PageRank
Christos D. Katsis1332.44
Nikolaos S. Katertsidis2242.74
Dimitrios I. Fotiadis3941121.32