{"title":"Amplitude and Phase Analysis of EEG Signal by Complex Demodulation","authors":"Sun K. Yoo, Hee Cheol Kang","volume":82,"journal":"International Journal of Biomedical and Biological Engineering","pagesStart":648,"pagesEnd":652,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/17143","abstract":"
Analysis of amplitude and phase characteristics for delta, theta, and alpha bands at localized time instant from EEG signals is important for the characterizing information processing in the brain. In this paper, complex demodulation method was used to analyze EEG (Electroencephalographic) signal, particularly for auditory evoked potential response signal, with sufficient time resolution and designated frequency bandwidth resolution required. The complex demodulation decomposes raw EEG signal into 3 designated delta, theta, and alpha bands with complex EEG signal representation at sampled time instant, which can enable the extraction of amplitude envelope and phase information. Throughout simulated test data, and real EEG signal acquired during auditory attention task, it can extract the phase offset, phase and frequency changing instant and decomposed amplitude envelope for delta, theta, and alpha bands. The complex demodulation technique can be efficiently used in brain signal analysis in case of phase, and amplitude information required.<\/p>\r\n","references":"[1] Y. Kubotaa, W. Satob, M. Toichic, T. Muraia, T. Okadaa, A. Hayashia, A. \r\nSengokua, \u201cFrontal midline theta rhythm is correlated with cardiac \r\nautonomic activities during the performance of an attention demanding \r\nmeditation procedure\u201d, Cognitive Brain Research, vol. 11, pp. 281\u2013287, \r\n2001. \r\n[2] W. Klimesch, \u201cEEG alpha and theta oscillations reflect cognitive and \r\nmemory performance: a review and analysis\u201d, Brain Research Reviews \r\nvol.29, pp.169-195, 1999. \r\n[3] G. C. Galbraith, C. E. Buranahirun, J. Kang, O. V. Ramos, S. E. Lunde, \r\n\u201c Individual differences in autonomic activity affects brainstem auditory \r\nfrequency-following response amplitude in humans,\u201d Neuroscience \r\nLetters, vol. 283, pp. 201-204, 2001. \r\n[4] P. Sauseng*, W. Klimesch, M. Schabus, M. Doppelmayr, \u201cFronto-parietal \r\nEEG coherence in theta and upper alpha reflect central executive \r\nfunction\u201d, International Journal of Psychophysiology, vol. 57 pp. 97 \u2013 103, \r\n2005. \r\n[5] F. Varela, J. Lachaux, E. Rodriguez, J. Martinerie, The brainweb: Phase \r\nsynchronization and Large-scale integration, Nature Reviews \r\nNeuroscience,vol. 2,pp. 229-239, 2001. \r\n[6] P. Fries, J. H. Reynolds, A. E. Rorie, R. Desimone, Modulation of \r\nOscillatory Neuronal Synchronization by Selective Visual Attention, \r\nScience, vol.291, pp.1560-1563, Science. \r\n[7] G. Buzzaki, A. Draguhn, Neuronal Oscillations in Cortical Networks, \r\nScience, vol.304, pp.1926-1929, 2004. \r\n[8] 6. N. Yeung, R. Bogacz, C.B.Holroyd, S. Nieuwenhuis, J. Cohen, Theta \r\nphase resetting and the error-related negativity, Psychophysiology, \r\nvol.44, pp. 39-49, 2007. \r\n[9] R. W. Thatcher, D. M. North, C. J. Biver, Intelligence and EEG phase \r\nreset: A compartmental model of phase shift and lock, Neuroimage, \r\nvol.42, pp.1639-1653, 2008. \r\n[10] Draganova, D. Popivanov, Assessment of EEG frequency dynamics using \r\ncomplex demodulation, Physiological Research, 48, 157-165, 1999. \r\n[11] A. P. Key, G. O. Dove, M. J. Maquire, Linking brain waves to the brain: \r\nan ERP primer, Dev Neuropsychol. Vol.27(2), pp.183-215, 2005. ","publisher":"World Academy of Science, Engineering and Technology","index":"Open Science Index 82, 2013"}