<p><p>This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations of brainβcomputer interfaces. In addition, it offers a wealth of information, ranging from the description of data acquisition methods in the field of human brain
Brain Source Localization Using EEG Signal Analysis
β Scribed by Munsif Ali Jatoi, Nidal Kamel
- Publisher
- CRC Press
- Year
- 2018
- Tongue
- English
- Leaves
- 249
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
Of the research areas devoted to biomedical sciences, the study of the brain remains a field that continually attracts interest due to the vast range of people afflicted with debilitating brain disorders and those interested in ameliorating its effects. To discover the roots of maladies and grasp the dynamics of brain functions, researchers and practitioners often turn to a process known as brain source localization, which assists in determining the source of electromagnetic signals from the brain. Aiming to promote both treatments and understanding of brain ailments, ranging from epilepsy and depression to schizophrenia and Parkinsonβs disease, the authors of this book provide a comprehensive account of current developments in the use of neuroimaging techniques for brain analysis. Their book addresses a wide array of topics, including EEG forward and inverse problems, the application of classical MNE, LORETA, Bayesian based MSP, and its modified version, M-MSP. Within the ten chapters that comprise this book, clinicians, researchers, and field experts concerned with the state of brain source localization will find a store of information that can assist them in the quest to enhance the quality of life for people living with brain disorders.
β¦ Table of Contents
Content: Neuroimaging techniques for brain analysis --
EEG forward problem- I : mathematical background --
EEG forward problem- II : head modelling approaches --
EEG inverse problem-I : classical techniques --
EEG inverse problem-II : hybrid techniques --
EEG inverse problem-III : subspace based techniques --
EEG inverse problem-IV : Bayesian techniques --
EEG inverse problem-V : results and comparison --
Future directions for EEG source localization.
β¦ Subjects
Electroencephalography.;Brain mapping.;Brain -- Diseases -- Diagnosis.;Brain Mapping.;Brain Diseases -- diagnostic imaging.;Brain -- diagnostic imaging.
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