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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.
Sample Chapter(s)
Chapter 1: Introduction (165 KB)
Contents:
- Introduction
- Wavelet Filter Design Based on Frequency Responses for Filtering ERP Data With Duration of One Epoch
- Individual-Level ICA to Extract the ERP Components from the Averaged EEG Data
- Multi-Domain Feature of the ERP Extracted by NTF: New Approach for Group-Level Analysis of ERPs
- Analysis of Ongoing EEG by NTF During Real-World Music Experiences
- Appendix: Introduction to Basic Knowledge of Mismatch Negativity
Readership: Undergraduate, graduate, researchers and professionals in the field of neurology/neuroscience, medical imaging, psychology, biomedical engineering and computer science.
No Access
Chapter 2: Wavelet Filter Design Based on Frequency Responses for Filtering ERP Data With Duration of One Epoch
- Pages:15–49
No Access
Chapter 3: Individual-Level ICA to Extract the ERP Components from the Averaged EEG Data
- Pages:51–129
No Access
Chapter 4: Multi-Domain Feature of the ERP Extracted by NTF: New Approach for Group-Level Analysis of ERPs
- Pages:131–177
Sample Chapter(s)
Chapter 1: Introduction (165 KB)
