Multichannel matching pursuit validation and clustering—A simulation and empirical study

▶ MMP accuracy decreases as the number of brain sources increases. ▶ MMP is robust to noise. ▶ We propose a modified K-means clustering to automate MMP analysis. Multichannel matching pursuit (MMP) is a relatively new method that can be applied to electroencephalogram (EEG) signals in combination wi...

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Vydané v:	Journal of neuroscience methods Ročník 196; číslo 1; s. 190 - 200
Hlavní autori:	Lelic, Dina, Gratkowski, Maciej, Hennings, Kristian, Drewes, Asbjørn Mohr
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Netherlands Elsevier B.V 15.03.2011
Predmet:	Adult Algorithms Analysis of Variance Brain - physiology Brain Mapping Computer Simulation EEG Electroencephalography Evoked Potentials, Auditory, Brain Stem - physiology Evoked Potentials, Somatosensory - physiology Female Humans K-mean clustering Magnetic Resonance Imaging Male Median Nerve - physiology Models, Neurological Multichannel matching pursuit Physical Stimulation Reaction Time Reproducibility of Results Signal Processing, Computer-Assisted Source analysis Young Adult K-mean clustering Source analysis Multichannel matching pursuit EEG
ISSN:	0165-0270, 1872-678X, 1872-678X
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