Advanced Signal Processing on Brain Event-Related Potentials

Filtering ERPs in Time, Frequency and Space Domains Sequentially and Simultaneously

Fengyu Cong (Dalian University of Technology, China), Tapani Ristaniemi (University ofJyväskylä, Finland), Heikki Lyytinen (University of Jyväskylä, Finland)

2015, World Scientific, Singapore: http://www.worldscientific.com/worldscibooks/10.1142/9306


Free preprint (Content, Preface, Chapters 1&2 and Appendix) to downloand:

Cong_Ristaniemi-Lyytinen_Book2015_Title-Content-Preface-Ch1-Ch2-Appendix.pdf


Slides to introduce the key ideas of the book:

Cong_Talk_slides_2015-12-31.pdf



Please download MATLAB codes for wavelet filter, ICA and tensor decomposition for ERP data processing and analysis in the book via http://www.escience.cn/people/cong/AdvancedSP_ERP.html


About This Book

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 including 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.

Key Contents

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) FRONT MATTER. Advanced Signal Processing on Brain Event-Related Potentials: pp. i-xxi, doi:10.1142/9789814623094_fmatter

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) Introduction. Advanced Signal Processing on Brain Event-Related Potentials: pp. 1-13, doi:10.1142/9789814623094_0001

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) Wavelet Filter Design Basedon Frequency Responses for Filtering ERP Data With Duration of One Epoch. AdvancedSignal Processing on Brain Event-Related Potentials: pp. 15-49, doi:10.1142/9789814623094_0002

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) Individual-Level ICA toExtract the ERP Components from the Averaged EEG Data. Advanced Signal Processing on Brain Event-Related Potentials: pp. 51-129, doi:10.1142/9789814623094_0003

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) Multi-Domain Feature of theERP Extracted by NTF: New Approach for Group-Level Analysis of ERPs. Advanced Signal Processing on Brain Event-Related Potentials: pp. 131-177, doi:10.1142/9789814623094_0004

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) Analysis of Ongoing EEG by NTF During Real-World Music Experiences. Advanced Signal Processing on Brain Event-Related Potentials: pp. 179-189, doi: 10.1142/9789814623094_0005

Fengyu Cong, Tapani Ristaniemi, and Heikki Lyytinen (2015) BACK MATTER. Advanced Signal Processing on Brain Event-Related Potentials: pp. 191-202, doi:10.1142/9789814623094_bmatter


Readership

Undergraduate, graduate, researchers and professionals in the field of neurology/neuroscience, medical imaging, psychology, biomedical engineering and computer science.

Scholars

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