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EEG Signal Processing and Feature Extraction

range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and;

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EEG Signal Processing and Feature Extraction

range of current mainstream EEG signal-processing and feature-extraction techniques in depth, and includes chapters on the principles and;

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EEG Signal Processing

and accuracy which is why multichannel systems and proper signal processing methods are used for feature extraction, feature selection and;

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Brain Seizure Detection and Classification Using EEG Signals

machine learning classifiers for classification of EEG signals in normal and epileptic EEG signals, and new methods of feature extraction;

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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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Multiscale Signal Analysis and Modeling

, feature extraction and classification, signal and image representation/transmission, coding, nonparametric statistical signal processing, and;

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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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Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques

electroencephalogram (EEG), electromyogram (EMG) and electrocardiogram (ECG), different signal-processing techniques, signal de-noising, feature extraction and;

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EEG Signal Analysis and Classification

This book presents advanced methodologies in two areas related to electroencephalogram (EEG) signals: detection of epileptic seizures and;

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New Signal Processing Research

Signal processing is the analysis, interpretation, and manipulation of signals. Signals of interest include sound, images, biological;

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EEG/ERP Analysis

are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and;

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EEG/ERP Analysis

are working on EEG/ERP signal analysis methods and developing clinical instrumentation. It can also assist neurosurgeons, psychiatrists, and;

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Biosignal Processing and Classification Using Computational Learning and Intelligence

all kinds of signals that can be continuously measured and monitored in living beings. The book is composed of five relevant parts. Part One;

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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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Signal Processing in Auditory Neuroscience

of different sounds manifest in neural signals and how to tease-apart their different influences. It includes EEG/MEG as additional variables to be;

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Time-Frequency Based Feature Extraction and Classification

exciting topic, and should be especially useful to professionals in many fields dealing with the analysis of non-stationary signals.;

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Micro-Doppler Characteristics of Radar Targets

extraction techniques. The micro-Doppler effect is presented from two aspects, including micro-Doppler effect analysis and micro-Doppler feature;

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Signal and Image Processing Techniques for the Development of Intelligent Health

This book comprehensively reviews the various automated and semi-automated signal and image processing techniques, as well as deep-learning;

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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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Recent Trends in Signal and Image Processing

This book gathers selected papers presented at the Third International Symposium on Signal and Image Processing (ISSIP 2020), organized by;

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Breath Analysis for Medical Applications

This book describes breath signal processing technologies and their applications in medical sample classification and diagnosis. First, it;

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Feature Extraction and Image Processing for Computer Vision

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and;

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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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Bioelectrical Signal Processing in Cardiac and Neurological Applications

approach to biomedical signal processing by considering a wide range of problems in cardiac and neurological applications-the two "heavyweight;

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Random Signal Processing

processing-using appropriate segment size. * Covers speech, image, medical images, EEG and ECG signal processing. * Reviews optimal detection;

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Random Signal Processing

processing-using appropriate segment size. * Covers speech, image, medical images, EEG and ECG signal processing. * Reviews optimal detection;

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Applied Signal and Image Processing

Applied Signal and Image Processing: Multidisciplinary Advancements highlights the growing multidisciplinary nature of signal and image;

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