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EEG/ERP Analysis

analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines;

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EEG/ERP Analysis

analysis. Covers a wide range of EEG/ERP applications with state-of-the-art techniques for denoising, analysis, and classification Examines;

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EEG Signal Analysis and Classification

the field of analysis and classification of EEG signals through these more efficient methodologies. Researchers and experts will benefit from;

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Analysis and Classification of EEG Signals for Brain-Computer Interfaces

This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations;

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Analysis and Classification of EEG Signals for Brain Computer Interfaces

This book addresses the problem of EEG signal analysis and the need to classify it for practical use in many sample implementations;

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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

with an improved PSO algorithm for epilepsy identification, and cover ABC algorithm optimized RBFNN for classification of EEG signal. Final;

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Brain Seizure Detection and Classification Using EEG Signals

Brain Seizure Detection and Classification Using Electroencephalographic Signals presents EEG signal processing and analysis with high;

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EEG Signal Processing

feature classification to discriminate among several mental tasks. This edited book presents state of the art aspects of EEG signal processing;

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EEG-Based Diagnosis of Alzheimer Disease

extraction and classification of Alzheimer's Disease using EEG signals. This book brings together the use of different EEG features, such as linear;

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Biomedical Signal Processing for Healthcare Applications

-processing and classification of the signals, and application of analysis and classification for the diagnosis of brain- and heart-related diseases;

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EEG Signal Processing and Feature Extraction

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal;

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EEG Signal Processing and Feature Extraction

This book presents the conceptual and mathematical basis and the implementation of both electroencephalogram (EEG) and EEG signal;

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Brain Signals

A unified treatment of the generation and analysis of brain-generated electromagnetic fields. In Brain Signals, Risto Ilmoniemi and Jukka;

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Epileptic Seizures and the EEG

of EEG records The book begins by summarizing the physiology and the fundamental ideas behind the measurement, analysis and modeling of the;

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Real Time BCI System Design to Control Arduino Based Speed Controllable Robot Us

of EEG (electroencephalogram) recording. The book also compares the algorithms that have been and that can be used to design the signal;

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KNN Classifier and K-Means Clustering for Robust Classification of Epilepsy from EEG Signals. A Detailed Analysis

Knn Classifier and K-Means Clustering Fo;

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Comprehensive Analysis of Extreme Learning Machine and Continuous Genetic Algorithm for Robust Classification of Epilepsy from EEG Signals

Comprehensive Analysis of Extreme Learni is een boek van Harikumar Rajaguru;

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Comprehensive Analysis of Swarm Based Classifiers and Bayesian Based Models for Epilepsy Risk Level Classification from EEG Signals

Comprehensive Analysis of Swarm Based Cl is een boek van Harikumar Rajaguru;

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Advanced Signal Processing on Event-Related Potentials

of electroencephalography (EEG) for the cognitive neuroscience. ERPs are usually produced through averaging single-trials of preprocessed EEG, and then, the;

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Multiscale Signal Analysis and Modeling

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems. This;

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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

learning and biomedical signal processing methods can be used in biomedical signal analysis. Different machine learning applications in biomedical;

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Neural Engineering Techniques for Autism Spectrum Disorder

Spectrum Disorder (ASD), including brain signal analysis, EEG analytics, feature selection, and analysis of blood oxygen level-dependent (BOLD;

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Phonocardiography Signal Processing

The auscultation method is an important diagnostic indicator for hemodynamic anomalies. Heart sound classification and analysis play an;

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Computational Intelligence Techniques in Diagnosis of Brain Diseases

recordings, and shows that the method is suitable for extracting independent components from the measured electroencephalogram (EEG) signal. The;

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Biomedical Signal Processing and Artificial Intelligence in Healthcare

analysis in biomedical systems. Several types of biomedical signals are introduced and analyzed, including ECG and EEG signals. The role of Deep;

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Signal Processing to Drive Human-Computer Interaction

, preprocessing, enhancement, feature extraction, and classification of eye gaze, EEG (Steady-state visual evoked potentials, motor imagery and error;

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Clinical Electroencephalography

This book describes the developments and improvements in electroencephalography (EEG). In recent years, digital technology has replaced;

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