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Changes in EEG and HRV during Event-Related Attention

Authors: Sun K. Yoo, Chung K. Lee

Abstract:

Determination of attentional status is important because working performance and an unexpected accident is highly related with the attention. The autonomic nervous and the central nervous systems can reflect the changes in person’s attentional status. Reduced number of suitable pysiological parameters among autonomic and central nervous systems related signal parameters will be critical in optimum design of attentional devices. In this paper, we analyze the EEG (Electroencephalography) and HRV (Heart Rate Variability) signals to demonstrate the effective relation with brain signal and cardiovascular signal during event-related attention, which will be later used in selecting the minimum set of attentional parameters. Time and frequency domain parameters from HRV signal and frequency domain parameters from EEG signal are used as input to the optimum feature parameters selector.

Keywords: eeg, HRV, attentional status

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1335734

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[1] Y. Kubotaa, W. Satob, M. Toichic, T. Muraia, T. Okadaa, A. Hayashia, A. Sengokua, “Frontal midline theta rhythm is correlated with cardiac autonomic activities during the performance of an attention demanding meditation procedure”, Cognitive Brain Research, vol. 11, pp. 281–287, 2001
[2] W. Klimesch, “EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis”, Brain Research Reviews vol.29, pp.169-195, 1999
[3] G. C. Galbraith, C. E. Buranahirun, J. Kang, O. V. Ramos, S. E. Lunde, “ Individual differences in autonomic activity affects brainstem auditory frequency-following response amplitude in humans,” Neuroscience Letters, vol. 283, pp. 201-204, 2001
[4] P. Sauseng*, W. Klimesch, M. Schabus, M. Doppelmayr, “Fronto-parietal EEG coherence in theta and upper alpha reflect central executive function”, International Journal of Psychophysiology, vol. 57 pp. 97 – 103, 2005
[5] Task Force of The European Society of Cardiology and The North American Society of Pacing and Electrophysiology, “Heart rate variability: Standards of measurement, physiological interpretation, and clinical use”, European Heart Journal, vol. 17, pp.354-381, 1996
[6] Richard O. Duda, Peter E. Hart, David G. Stork, Pattern Classification 2nd edition, Wiley-Interscience
[7] Goldberger AL, Non-linear dynamics for clinicians: chaos theory, fractals, and complexity , 1996