EEG Signal Processing and Feature Extraction Book [PDF] Download

Download the fantastic book titled EEG Signal Processing and Feature Extraction written by Li Hu, 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 and Feature Extraction", which was released on 12 October 2019. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Medical genre.

Summary of EEG Signal Processing and Feature Extraction by Li Hu PDF

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 activity generated by the firing of neurons within human brain at the scalp. They are widely used in clinical neuroscience, psychology, and neural engineering, and a series of EEG signal-processing techniques have been developed. Intended for cognitive neuroscientists, psychologists and other interested readers, the book discusses a range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and implementation strategies.


Detail About EEG Signal Processing and Feature Extraction PDF

  • Author : Li Hu
  • Publisher : Springer Nature
  • Genre : Medical
  • Total Pages : 437 pages
  • ISBN : 9811391130
  • PDF File Size : 52,8 Mb
  • Language : English
  • Rating : 5/5 from 1 reviews

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EEG Signal Processing and Feature Extraction

EEG Signal Processing and Feature Extraction
  • Publisher : Springer Nature
  • File Size : 36,9 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

EEG Signal Processing

EEG Signal Processing
  • Publisher : Healthcare Technologies
  • File Size : 55,6 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

EEG Signal Processing

EEG Signal Processing
  • Publisher : John Wiley & Sons
  • File Size : 31,8 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 Analysis and Classification

EEG Signal Analysis and Classification
  • Publisher : Springer
  • File Size : 20,8 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

Brain Seizure Detection and Classification Using EEG Signals

Brain Seizure Detection and Classification Using EEG Signals
  • Publisher : Academic Press
  • File Size : 43,9 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,

EEG SIGNAL PROCESSING: A Machine Learning Based Framework

EEG SIGNAL PROCESSING: A Machine Learning Based Framework
  • Publisher : Ashok Yakkaldevi
  • File Size : 25,9 Mb
  • Release Date : 31 January 2022
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1.1 Motivation Analysis of non-stationary and non-linear nature of signal data is the prime talk in signal processing domain today. On employing biomedical equipments huge volume of physiological data is acquired

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 : 24,8 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

EEG-Based Diagnosis of Alzheimer Disease

EEG-Based Diagnosis of Alzheimer Disease
  • Publisher : Academic Press
  • File Size : 54,5 Mb
  • Release Date : 13 April 2018
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EEG-Based Diagnosis of Alzheimer Disease: A Review and Novel Approaches for Feature Extraction and Classification Techniques provides a practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer’

Soft Computing for Problem Solving

Soft Computing for Problem Solving
  • Publisher : Springer Nature
  • File Size : 51,9 Mb
  • Release Date : 13 October 2021
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This two-volume book provides an insight into the 10th International Conference on Soft Computing for Problem Solving (SocProS 2020). This international conference is a joint technical collaboration of Soft Computing Research