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Advanced Signal Processing On Brain Event-related Potentials: Filtering Erps In Time, Frequency And Space Domains Sequentially And Simultaneously

Advanced Signal Processing On Brain Event-related Potentials: Filtering Erps In Time, Frequency And Space Domains Sequentially And Simultaneously

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This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed.

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This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the interpretation of underlying brain activities is based on the ordinarily averaged EEG. We find that randomly fluctuating activities and artifacts can still present in the averaged EEG data, and that constant brain activities over single trials can overlap with each other in time, frequency and spatial domains. Therefore, before interpretation, it will be beneficial to further separate the averaged EEG into individual brain activities. The book proposes systematic approaches pre-process wavelet transform (WT), independent component analysis (ICA), and nonnegative tensor factorization (NTF) to filter averaged EEG in time, frequency and space domains to sequentially and simultaneously obtain the pure ERP of interest. Software of the proposed approaches will be open-accessed.

Produktdetaljer
Sprog: Engelsk
Sider: 224
ISBN-13: 9789814623087
Indbinding: Hardback
Udgave:
ISBN-10: 9814623083
Kategori: Signalbehandling
Udg. Dato: 29 maj 2015
Længde: 19mm
Bredde: 237mm
Højde: 160mm
Forlag: World Scientific Publishing Co Pte Ltd
Oplagsdato: 29 maj 2015
Forfatter(e) Heikki Lyytinen, Fengyu Cong, Tapani Ristaniemi


Kategori Signalbehandling


ISBN-13 9789814623087


Sprog Engelsk


Indbinding Hardback


Sider 224


Udgave


Længde 19mm


Bredde 237mm


Højde 160mm


Udg. Dato 29 maj 2015


Oplagsdato 29 maj 2015


Forlag World Scientific Publishing Co Pte Ltd

Kategori sammenhænge