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Advanced Signal Processing On Brain Event-related Potentials: Filtering Erps In Time, Frequency And Space Domains Sequentially And Simultaneously (Hardcover) Loot Price: R2,679
Discovery Miles 26 790
Advanced Signal Processing On Brain Event-related Potentials: Filtering Erps In Time, Frequency And Space Domains Sequentially...

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

Fengyu Cong, Tapani Ristaniemi, Heikki Lyytinen

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Loot Price R2,679 Discovery Miles 26 790 | Repayment Terms: R251 pm x 12*

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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.

General

Imprint: World Scientific Publishing Co Pte Ltd
Country of origin: Singapore
Release date: June 2015
First published: 2015
Authors: Fengyu Cong • Tapani Ristaniemi • Heikki Lyytinen
Dimensions: 160 x 237 x 19mm (L x W x T)
Format: Hardcover
Pages: 224
ISBN-13: 978-981-4623-08-7
Categories: Books > Computing & IT > Applications of computing > Signal processing
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LSN: 981-4623-08-3
Barcode: 9789814623087

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