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International Journal of Psychophysiology
Volume 62, Issue 1, October 2006, Pages 134-140
 
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doi:10.1016/j.ijpsycho.2006.03.001    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2006 Elsevier B.V. All rights reserved.

Cardiac responses induced during thought-based control of a virtual environment

G. Pfurtschellera, Corresponding Author Contact Information, E-mail The Corresponding Author, E-mail The Corresponding Author, R. Leeba and M. Slaterb

aLaboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, A-8010 Graz, Austria bDepartment of Computer Science, University College London, Gower Street, WC1E 6BT London, United Kingdom

Received 31 May 2005; 
revised 6 December 2005; 
accepted 8 March 2006. 
Available online 27 April 2006.

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Abstract

Cardiac responses induced by motor imagery were investigated in 3 subjects in a series of experiments with a synchronous (cue-based) Brain–Computer Interface (BCI). The cue specified right hand vs. leg/foot motor imagery. After a number of BCI training sessions reaching a classification accuracy of at least 80%, the BCI experiments were carried out in an immersive virtual environment (VE), commonly referred as a “CAVE”. In this VE, the subjects were able to move along a virtual street by motor imagery alone. The thought-based control of VE resulted in an acceleration of the heart rate in 2 subjects and a heart rate deceleration in the other subject. In control experiments in front of a PC, all 3 subjects displayed a significant heart rate deceleration of the order of about 3–5%. This heart rate decrease during motor imagery in a normal environment is similar to that observed during preparation for a voluntary movement. The heart rate acceleration in the VE is interpreted as effect of an increased mental effort to walk as far as possible in VE.

Keywords: Heart rate deceleration; Motor imagery; Virtual environment; Brain–Computer Interface

Article Outline

1. Introduction
2. Materials and methods
2.1. Experimental paradigm
2.2. Electrocardiogram processing
2.3. Calculation of imagery-induced HR changes
3. Results
4. Discussion
Acknowledgements
References





 
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