HOME > Detail View

Detail View

EEG signal processing

EEG signal processing (Loan 48 times)

Material type
단행본
Personal Author
Sanei, Saeid. Chambers, Jonathon.
Title Statement
EEG signal processing / Saeid Sanei and J.A. Chambers.
Publication, Distribution, etc
Chichester, England ;   Hoboken, NJ :   John Wiley & Sons ,   c2007.  
Physical Medium
xxii, 289 p. : ill. ; 25 cm.
ISBN
9780470025819 (alk. paper) 0470025816 (alk. paper)
Content Notes
Introduction to EEG -- Fundamentals of EEG signal processing -- Event-related potentials -- Seizure signal analysis -- EEG source localization -- Sleep EEG -- Brain-computer interfacing.
Bibliography, Etc. Note
Includes bibliographical references and index.
Subject Added Entry-Topical Term
Electroencephalography. Signal processing. Electroencephalography -- methods. Evoked Potentials. Signal Processing, Computer-Assisted.
000 01447camuu22003614a 4500
001 000045414077
005 20090417155056
008 080114s2007 enka b 001 0 eng
010 ▼a 2007019900
020 ▼a 9780470025819 (alk. paper)
020 ▼a 0470025816 (alk. paper)
035 ▼a (KERIS)REF000013654729
040 ▼a DNLM/DLC ▼c DLC ▼d NLM ▼d BAKER ▼d BTCTA ▼d BWKUK ▼d YDXCP ▼d DLC ▼d 211009
050 0 0 ▼a RC386.6.E43 ▼b S252 2007
060 0 0 ▼a 2007 I-966
060 1 0 ▼a WL 150 ▼b S223e 2007
082 0 0 ▼a 616.8/047547 ▼2 22
090 ▼a 616.8047547 ▼b S223e
100 1 ▼a Sanei, Saeid.
245 1 0 ▼a EEG signal processing / ▼c Saeid Sanei and J.A. Chambers.
246 3 ▼a Electroencephalography signal processing
260 ▼a Chichester, England ; ▼a Hoboken, NJ : ▼b John Wiley & Sons , ▼c c2007.
300 ▼a xxii, 289 p. : ▼b ill. ; ▼c 25 cm.
504 ▼a Includes bibliographical references and index.
505 0 ▼a Introduction to EEG -- Fundamentals of EEG signal processing -- Event-related potentials -- Seizure signal analysis -- EEG source localization -- Sleep EEG -- Brain-computer interfacing.
650 0 ▼a Electroencephalography.
650 0 ▼a Signal processing.
650 1 2 ▼a Electroencephalography ▼x methods.
650 2 2 ▼a Evoked Potentials.
650 2 2 ▼a Signal Processing, Computer-Assisted.
700 1 ▼a Chambers, Jonathon.
945 ▼a KINS

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 616.8047547 S223e Accession No. 111475335 Availability Available Due Date Make a Reservation Service B M
No. 2 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 616.8047547 S223e Accession No. 121163745 Availability Available Due Date Make a Reservation Service B M
No. 3 Location Medical Library/Monographs(3F)/ Call Number 616.8047547 S223e Accession No. 131033916 Availability Available Due Date Make a Reservation Service B
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Main Library/Western Books/ Call Number 616.8047547 S223e Accession No. 111475335 Availability Available Due Date Make a Reservation Service B M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 616.8047547 S223e Accession No. 121163745 Availability Available Due Date Make a Reservation Service B M
No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Medical Library/Monographs(3F)/ Call Number 616.8047547 S223e Accession No. 131033916 Availability Available Due Date Make a Reservation Service B

Contents information

Table of Contents

Preface.

List of Abbreviations.

List of Symbols.

1 Introduction to EEG.

1.1 History.

1.2 Neural Activities.

1.3 Action Potentials.

1.4 EEG Generation.

1.5 Brain Rhythms.

1.6 EEG Recording and Measurement.

1.6.1 Conventional Electrode Positioning.

1.6.2 Conditioning the Signals.

1.7 Abnormal EEG Patterns.

1.8 Ageing.

1.9 Mental Disorders.

1.9.1 Dementia.

1.9.2 Epileptic Seizure and Nonepileptic Attacks.

1.9.3 Psychiatric Disorders.

1.9.4 External Effects.

1.10 Summary and Conclusions.

References.

2 Fundamentals of EEG Signal Processing.

2.1 EEG Signal Modelling.

2.1.1 Linear Models.

2.1.2 Nonlinear Modelling.

2.1.3 Generating EEG Signals Based on Modelling the Neuronal Activities.

2.2 Nonlinearity of the Medium.

2.3 Nonstationarity.

2.4 Signal Segmentation.

2.5 Signal Transforms and Joint Time–Frequency Analysis.

2.5.1 Wavelet Transform.

2.5.2 Ambiguity Function and the Wigner–Ville Distribution.

2.6 Coherency, Multivariate Autoregressive (MVAR) Modelling, and Directed Transfer Function (DTF).

2.7 Chaos and Dynamical Analysis.

2.7.1 Entropy.

2.7.2 Kolmogorov Entropy.

2.7.3 Lyapunov Exponents.

2.7.4 Plotting the Attractor Dimensions from the Time Series.

2.7.5 Estimation of Lyapunov Exponents from the Time Series.

2.7.6 Approximate Entropy.

2.7.7 Using the Prediction Order.

2.8 Filtering and Denoising.

2.9 Principal Component Analysis.

2.9.1 Singular-Value Decomposition.

2.10 Independent Component Analysis.

2.10.1 Instantaneous BSS.

2.10.2 Convolutive BSS.

2.10.3 Sparse Component Analysis.

2.10.4 Nonlinear BSS.

2.10.5 Constrained BSS.

2.11 Application of Constrained BSS: Example.

2.12 Signal Parameter Estimation.

2.13 Classification Algorithms.

2.13.1 Support Vector Machines.

2.13.2 The k-Means Algorithm.

2.14 Matching Pursuits.

2.15 Summary and Conclusions.

References.

3 Event-Related Potentials.

3.1 Detection, Separation, Localization, and Classification of P300 Signals.

3.1.1 Using ICA.

3.1.2 Estimating Single Brain Potential Components by Modelling ERP Waveforms.

3.1.3 Source Tracking.

3.1.4 Localization of the ERP.

3.1.5 Time–Frequency Domain Analysis.

3.1.6 Adaptive Filtering Approach.

3.1.7 Prony’s Approach for Detection of P300 Signals.

3.1.8 Adaptive Time–Frequency Methods.

3.2 Brain Activity Assessment Using ERP.

3.3 Application of P300 to BCI.

3.4 Summary and Conclusions.

References.

4 Seizure Signal Analysis.

4.1 Seizure Detection.

4.1.1 Adult Seizure Detection.

4.1.2 Detection of Neonate Seizure.

4.2 Chaotic Behaviour of EEG Sources.

4.3 Predictability of Seizure from the EEGs.

4.4 Fusion of EEG–fMRI Data for Seizure Prediction.

4.5 Summary and Conclusions.

References.

5 EEG Source Localization.

5.1 Introduction.

5.1.1 General Approaches to Source Localization.

5.1.2 Dipole Assumption.

5.2 Overview of the Traditional Approaches.

5.2.1 ICA Method.

5.2.2 MUSIC Algorithm.

5.2.3 LORETA Algorithm.

5.2.4 FOCUSS Algorithm.

5.2.5 Standardized LORETA.

5.2.6 Other Weighted Minimum Norm Solutions.

5.2.7 Evaluation Indices.

5.2.8 Joint ICA–LORETA Approach.

5.2.9 Partially Constrained BSS Method.

5.3 Determination of the Number of Sources.

5.4 Summary and Conclusions.

References.

6 Sleep EEG.

6.1 Stages of Sleep.

6.1.1 NREM Sleep.

6.1.2 REM Sleep.

6.2 The Influence of Circadian Rhythms.

6.3 Sleep Deprivation.

6.4 Psychological Effects.

6.5 Detection and Monitoring of Brain Abnormalities During Sleep by EEG Analysis.

6.5.1 Detection of the Rhythmic Waveforms and Spindles Incorporating Blind Source Separation.

6.5.2 Application of Matching Pursuit.

6.5.3 Detection of Normal Rhythms and Spindles using Higher Order Statistics.

6.5.4 Application of Neural Networks.

6.5.5 Model-Based Analysis.

6.5.6 Hybrid Methods.

6.6 Concluding Remarks.

References.

7 Brain–Computer Interfacing.

7.1 State of the Art in BCI.

7.1.1 ERD and ERS.

7.1.2 Transient Beta Activity after the Movement.

7.1.3 Gamma Band Oscillations.

7.1.4 Long Delta Activity.

7.2 Major Problems in BCI.

7.2.1 Preprocessing of the EEGs.

7.3 Multidimensional EEG Decomposition.

7.3.1 Space–Time–Frequency Method.

7.3.2 Parallel Factor Analysis.

7.4 Detection and Separation of ERP Signals.

7.5 Source Localization and Tracking of the Moving Sources within the Brain.

7.6 Multivariant Autoregressive (MVAR) Modelling and Coherency Maps.

7.7 Estimation of Cortical Connectivity.

7.8 Summary and Conclusions.

References.

Index.


Information Provided By: : Aladin

New Arrivals Books in Related Fields

김이영 (2021)
Rapini, Ronald P (2021)