EEG signal processing and feature extraction. (2019)

• Record Type: Book
• Further Information: Note: Li Hu, Zhiguo Zhang, editors.
• Editors: Hu, Li; Zhang, Zhiguo
• Contents: Intro; Contents; Contributors; Chapter 1: Introduction; 1.1 Historical Background; 1.2 Why to Write This Book?; 1.3 Who Wrote It and Who to Use?; 1.4 The Organization of the Book; References; Chapter 2: EEG: Neural Basis and Measurement; 2.1 Neural Basis of EEG; 2.1.1 Volume Conduction and Source Estimation; 2.1.2 EEG, ECoG, and LFP; 2.2 EEG Measurement; 2.2.1 Recording Electrodes; 2.2.1.1 Electrode Type; 2.2.1.2 Electrode Number; 2.2.1.3 Electrode Placement; 2.2.1.4 Impedances; 2.2.1.5 Reference Electrode; 2.2.2 Amplifiers and Converters; 2.2.3 Artefacts; 2.2.4 Suggestions on EEG Measurement 2.2.4.1 Recording Environment2.2.4.2 Parameters of EEG Recording System; 2.2.4.3 Subjects; References; Chapter 3: Electroencephalography, Evoked Potentials, and Event-Related Potentials; 3.1 Spontaneous EEG Activity; 3.2 Evoked Potentials and Event-Related Responses; 3.3 An Overview of EPs and ERPs; 3.4 Common EP and ERP Components; 3.4.1 Auditory Evoked Potentials; 3.4.2 Visual Evoked Potentials; 3.4.3 Laser Evoked Potentials; 3.4.4 Somatosensory Evoked Potentials; 3.4.5 Steady-State Evoked Potentials; 3.5 Pitfalls and Promise in EP and ERP Studies; References Chapter 4: ERP Experimental Design4.1 Experimental Design and Cognitive Processes; 4.1.1 Stimulus Properties; 4.1.2 Condition Comparison; 4.1.3 Behavioral Measure; 4.2 Requirements of the ERP Method; 4.2.1 Trial Number; 4.2.2 Stimulus Probability; 4.2.3 Time-Locking; 4.2.4 Time Interval; 4.2.5 Eye and Body Movement Control; 4.3 Confounding Factors; 4.4 Classic Experimental Designs and Corresponding ERP Indexes; 4.4.1 Cue-Target Paradigm; 4.4.2 Face Presentation Paradigm; 4.4.2.1 Stimulus Response Compatibility (SRC) Paradigms; 4.4.2.2 Stop Signal Paradigm; 4.4.3 Gambling Paradigm 4.4.4 Oddball Paradigm4.4.5 Sentence Comprehension Paradigm; References; Chapter 5: EEG Preprocessing and Denoising; 5.1 Artifacts in EEG; 5.1.1 Physiological Artifacts; 5.1.2 Non-physiological Artifacts; 5.2 Montage; 5.3 Filtering; 5.4 Re-referencing; 5.5 Extracting Data Epochs and Removing Baseline Values; 5.6 Removal and Interpolation of Bad Channels; 5.7 Removal of Bad Epochs; 5.8 Removal of EEG Artifacts Using ICA; 5.9 Summary; References; Chapter 6: Spectral and Time-Frequency Analysis; 6.1 Introduction; 6.2 Spectral Estimation; 6.2.1 Basic Concepts; 6.2.2 Periodogram 6.2.3 The Welchś Method6.2.4 The Multitaper Method; 6.2.5 Autoregressive Method; 6.2.6 Comparison of Spectral Estimation Methods; 6.2.7 Extraction of Spectral Features; 6.3 Time-Frequency Analysis; 6.3.1 Basic Concepts; 6.3.2 Short-Time Fourier Transform (STFT); 6.3.3 Continuous Wavelet Transform (CWT); 6.3.4 Other Commonly Used TFA Methods; 6.3.4.1 Time-Varying AR Model; 6.3.4.2 Time-Frequency Decomposition Methods; 6.3.4.3 Latest Developments; 6.4 Event-Related Synchronization/Desynchronization (ERS/ERD); 6.4.1 Estimation of ERS/ERD; 6.4.2 Baseline Correction and Illustration of ERS/ERD
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource (viii, 437 pages), illustrations (some color)
• Subjects: 616.8/047547; Electroencephalography; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811391132; 9811391130
• Related ISBNs: 9789811391125
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 14, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.