Reference : Effects of resting heart rate variability on performance in the P300 brain-computer i...
Scientific journals : Article
Social & behavioral sciences, psychology : Animal psychology, ethology & psychobiology
Social & behavioral sciences, psychology : Neurosciences & behavior
Social & behavioral sciences, psychology : Theoretical & cognitive psychology
Social & behavioral sciences, psychology : Treatment & clinical psychology
Human health sciences : Psychiatry
http://hdl.handle.net/10993/2298
Effects of resting heart rate variability on performance in the P300 brain-computer interface
English
Kaufmann, Tobias [University of Würzburg, Germany]
Vögele, Claus mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Sütterlin, Stefan mailto [University of Luxembourg > Faculty of Language and Literature, Humanities, Arts and Education (FLSHASE) > Integrative Research Unit: Social and Individual Development (INSIDE) >]
Lukito, Steve [International Max Planck Research School, Tübingen, Germany]
Kübler, Andrea [University of Würzburg]
2012
International Journal of Psychophysiology
Elsevier
83
3
336-341
Yes (verified by ORBilu)
International
0167-8760
[en] Brain-computer interface ; P300-BCI ; Cardiac autonomic regulation ; Heart rate variability ; Executive function
[en] Objective: Brain computer interfaces (BCI) can serve as a communication system for people with severe impairment in speech and motor function due to neurodegenerative disease or injury. Reasons for inter-individual differences in capability of BCI usage are not yet fully understood. Paradigms making use of the P300 event-related potential are widely used. Success in a P300 based BCI requires the capability to focus attention and inhibit interference by distracting irrelevant stimuli. Such inhibitory control has been closely linked to peripheral physiological parameters, such as heart rate variability (HRV). The present study investigated the association between resting HRV and performance in the P300-BCI. Methods: Heart rate was recorded from 34 healthy participants under resting conditions, and subsequently a P300-BCI task was performed. Results: Frequency domain measures of HRV were significantly associated with BCI-performance, in that higher vagal activation was related to better BCI-performance. Conclusions: Resting HRV accounted for almost 26% of the variance of BCI performance and may, therefore, serve as a predictor for the capacity to control a P300 oddball based BCI. Significance: This is the first study to demonstrate resting vagal-cardiac activation to predict capability of P300-BCI usage.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/2298
http://www.ncbi.nlm.nih.gov/pubmed/22172335
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