INTREPID, a biosignal-based system for the monitoring of patients with anxiety disorders

Author

Nikolaos S. Katertsidis;Christos D. Katsis;Dimitrios I. Fotiadis

Author_Institution

Unit of Medical Technology and Intelligent Information Systems, Dept. of Computer Science, University of Ioannina, 45110, Greece

fYear

2009

Firstpage

1

Lastpage

6

Abstract

In this work, we present the concept, the architecture and the evaluation of the INTREPID system. INTREPID is an advanced monitoring system which optimally classifies an individual´s emotional state based on 5 pre-defined emotional classes, (relaxed, neutral, startled, apprehensive and very apprehensive), through association of the information arising from specific biological signals (Blood Volume Pulse, Heart Rate, Galvanic Skin Response and Respiration). The system is utilized for the monitoring of patients with anxiety disorder during therapeutic sessions. It is validated using data obtained through an emotion elicitation experiment based on the International Affective Picture System. An overall classification ratio of 85% is obtained.

Keywords

"Patient monitoring","Emotion recognition","Humans","Biomedical monitoring","Skin","Blood","Feature extraction","Heart rate","Data mining","Galvanizing"

Publisher

ieee

Conference_Titel

Information Technology and Applications in Biomedicine, 2009. ITAB 2009. 9th International Conference on

ISSN

2168-2194

Electronic_ISBN

2168-2208

Type

conf

DOI

10.1109/ITAB.2009.5394322

Filename

5394322