Automated characterization of multiple alpha peaks in multi-site electroencephalograms.

@article{citeulike:2151055, abstract = {The identification of alpha rhythm in the human electroencephalogram (EEG) is generally a laborious task involving visual inspection of the spectrum. Moreover the occurrence of multiple alpha rhythms is often overlooked. This paper seeks to automate the process of identifying alpha peaks and quantifying their frequency, amplitude and width as a function of position on the scalp. Experimental EEG was fitted with parameterized spectra spanning the alpha range, with results categorized by multi-site criteria into three distinct classes: no distinguishable alpha peak, a single alpha peak, and two alpha peaks. The technique avoids visual bias, integrates spatial information, and is automated. We show that multiple alpha peaks are a common feature of many spectra.}, address = {School of Physics, University of Sydney, New South Wales 2006, Australia; Brain Dynamics Center, Westmead Millennium Institute, Westmead Hospital and Western Clinical School of the University of Sydney, Westmead, New South Wales 2145, Australia.}, author = {Chiang, A K I K. and Rennie, C J J. and Robinson, P A A. and Roberts, J A A. and Rigozzi, M K K. and Whitehouse, R W W. and Hamilton, R J J. and Gordon, E }, citeulike-article-id = {2151055}, doi = {10.1016/j.jneumeth.2007.11.001}, issn = {0165-0270}, journal = {J Neurosci Methods}, keywords = {analysis, lfp, methods, oscillations}, month = {November}, posted-at = {2007-12-20 10:28:43}, priority = {2}, title = {Automated characterization of multiple alpha peaks in multi-site electroencephalograms.}, url = {http://dx.doi.org/10.1016/j.jneumeth.2007.11.001}, year = {2007} }

TY - JOUR ID - citeulike:2151055 L3 - citeulike-article-id:2151055 TI - Automated characterization of multiple alpha peaks in multi-site electroencephalograms. JF - J Neurosci Methods AD - School of Physics, University of Sydney, New South Wales 2006, Australia; Brain Dynamics Center, Westmead Millennium Institute, Westmead Hospital and Western Clinical School of the University of Sydney, Westmead, New South Wales 2145, Australia. SN - 0165-0270 N2 - The identification of alpha rhythm in the human electroencephalogram (EEG) is generally a laborious task involving visual inspection of the spectrum. Moreover the occurrence of multiple alpha rhythms is often overlooked. This paper seeks to automate the process of identifying alpha peaks and quantifying their frequency, amplitude and width as a function of position on the scalp. Experimental EEG was fitted with parameterized spectra spanning the alpha range, with results categorized by multi-site criteria into three distinct classes: no distinguishable alpha peak, a single alpha peak, and two alpha peaks. The technique avoids visual bias, integrates spatial information, and is automated. We show that multiple alpha peaks are a common feature of many spectra. KW - analysis KW - lfp KW - methods KW - oscillations AU - Chiang, A K I AU - Rennie, C J AU - Robinson, P A AU - Roberts, J A AU - Rigozzi, M K AU - Whitehouse, R W AU - Hamilton, R J AU - Gordon, E PY - 2007/11/13/ UR - http://dx.doi.org/10.1016/j.jneumeth.2007.11.001 ER -