EEG Signal Processing Book [PDF] Download

Download the fantastic book titled EEG Signal Processing written by Saeid Sanei, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "EEG Signal Processing", which was released on 28 May 2013. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Science genre.

Summary of EEG Signal Processing by Saeid Sanei PDF

Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation methods they are emerging as a key methodology to satisfy the increasing global demand for more affordable and effective clinical and healthcare services. Developing and understanding advanced signal processing techniques for the analysis of EEG signals is crucial in the area of biomedical research. This book focuses on these techniques, providing expansive coverage of algorithms and tools from the field of digital signal processing. It discusses their applications to medical data, using graphs and topographic images to show simulation results that assess the efficacy of the methods. Additionally, expect to find: explanations of the significance of EEG signal analysis and processing (with examples) and a useful theoretical and mathematical background for the analysis and processing of EEG signals; an exploration of normal and abnormal EEGs, neurological symptoms and diagnostic information, and representations of the EEGs; reviews of theoretical approaches in EEG modelling, such as restoration, enhancement, segmentation, and the removal of different internal and external artefacts from the EEG and ERP (event-related potential) signals; coverage of major abnormalities such as seizure, and mental illnesses such as dementia, schizophrenia, and Alzheimer’s disease, together with their mathematical interpretations from the EEG and ERP signals and sleep phenomenon; descriptions of nonlinear and adaptive digital signal processing techniques for abnormality detection, source localization and brain-computer interfacing using multi-channel EEG data with emphasis on non-invasive techniques, together with future topics for research in the area of EEG signal processing. The information within EEG Signal Processing has the potential to enhance the clinically-related information within EEG signals, thereby aiding physicians and ultimately providing more cost effective, efficient diagnostic tools. It will be beneficial to psychiatrists, neurophysiologists, engineers, and students or researchers in neurosciences. Undergraduate and postgraduate biomedical engineering students and postgraduate epileptology students will also find it a helpful reference.


Detail About EEG Signal Processing PDF

  • Author : Saeid Sanei
  • Publisher : John Wiley & Sons
  • Genre : Science
  • Total Pages : 312 pages
  • ISBN : 1118691237
  • PDF File Size : 44,5 Mb
  • Language : English
  • Rating : 5/5 from 1 reviews

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EEG Signal Processing

EEG Signal Processing
  • Publisher : John Wiley & Sons
  • File Size : 26,5 Mb
  • Release Date : 28 May 2013
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Electroencephalograms (EEGs) are becoming increasingly important measurements of brain activity and they have great potential for the diagnosis and treatment of mental and brain diseases and abnormalities. With appropriate interpretation

EEG Signal Processing and Feature Extraction

EEG Signal Processing and Feature Extraction
  • Publisher : Springer Nature
  • File Size : 24,5 Mb
  • Release Date : 12 October 2019
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This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal processing in a comprehensive, simple, and easy-to-understand manner. EEG records the electrical

Brain Computer Interface

Brain Computer Interface
  • Publisher : CRC Press
  • File Size : 33,5 Mb
  • Release Date : 29 July 2022
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Brain Computer Interface: EEG Signal Processing discusses electroencephalogram (EEG) signal processing using effective methodology and algorithms. This book provides a basic introduction to EEG and a classification of different components

EEG Signal Analysis and Classification

EEG Signal Analysis and Classification
  • Publisher : Springer
  • File Size : 29,6 Mb
  • Release Date : 03 January 2017
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This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and identification of mental states in brain computer interface (BCI) systems. The proposed

EEG Signal Processing

EEG Signal Processing
  • Publisher : Healthcare Technologies
  • File Size : 28,6 Mb
  • Release Date : 01 March 2019
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Electroencephalography (EEG) is an electrophysiological monitoring method used to record the brain activity in brain-computer interface (BCI) systems. It records the electrical activity of the brain, is typically non-invasive with

Brain Seizure Detection and Classification Using EEG Signals

Brain Seizure Detection and Classification Using EEG Signals
  • Publisher : Academic Press
  • File Size : 26,6 Mb
  • Release Date : 09 September 2021
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Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high performance feature extraction. The book covers the feature selection method based on One-way ANOVA,

Guide to Brain-Computer Music Interfacing

Guide to Brain-Computer Music Interfacing
  • Publisher : Springer
  • File Size : 20,5 Mb
  • Release Date : 03 October 2014
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This book presents a world-class collection of Brain-Computer Music Interfacing (BCMI) tools. The text focuses on how these tools enable the extraction of meaningful control information from brain signals, and

Analyzing Neural Time Series Data

Analyzing Neural Time Series Data
  • Publisher : MIT Press
  • File Size : 49,5 Mb
  • Release Date : 17 January 2014
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A comprehensive guide to the conceptual, mathematical, and implementational aspects of analyzing electrical brain signals, including data from MEG, EEG, and LFP recordings. This book offers a comprehensive guide to

Signal Processing for Neuroscientists

Signal Processing for Neuroscientists
  • Publisher : Elsevier
  • File Size : 28,6 Mb
  • Release Date : 18 December 2006
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Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of

Signal Processing and Machine Learning for Brain-Machine Interfaces

Signal Processing and Machine Learning for Brain-Machine Interfaces
  • Publisher : Institution of Engineering and Technology
  • File Size : 31,7 Mb
  • Release Date : 01 September 2018
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This book introduces signal processing and machine learning techniques for Brain Machine Interfacing/Brain Computer Interfacing (BMI/BCI), and their practical and future applications in neuroscience, medicine, and rehabilitation. This