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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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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/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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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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Advanced Signal Processing on Event-Related Potentials

This book is devoted to the application of advanced signal processing on event-related potentials (ERPs) in the context;

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Bioelectrical Signal Processing in Cardiac and Neurological Applications

, interdisciplinary presentation of biomedical signal processing Focus on methods for processing of bioelectrical signals (ECG, EEG, evoked;

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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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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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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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Biomedical Signal Processing for Healthcare Applications

This book examines the use of biomedical signal processing-EEG, EMG, and ECG-in analyzing and diagnosing various medical conditions;

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Signal Processing in Neuroscience

methods in the context of NSP. Neuronal Signal Processing is a comparatively new field in computer sciences and neuroscience, and;

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Machine Intelligence and Signal Processing

This book features selected high-quality research papers presented at the International Conference on Machine Intelligence and Signal;

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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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High-Resolution and Robust Signal Processing

-resolution space-time radar signal processing using 2-D or 1-D/1-D models; and models and methods for EEG/MEG space-time dipole source estimation and;

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Biomedical Signal and Image Processing

, image filtering, edge detection, and wavelet transform. The second section investigates specifically biomedical signals, such as ECG, EEG, and;

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Adaptive Processing of Brain Signals

of electroencephalography (EEG) and magneto-encephalography (MEG) signals, and their correlation to the corresponding functional magnetic resonance imaging (fMRI;

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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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Nonlinear Biomedical Signal Processing, Volume 1

>Uncertainty management Analysis of biomedical signals A guided tour of neural networks Application of algorithms to EEG and;

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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-Based Diagnosis of Alzheimer Disease

practical and easy-to-use guide for researchers in EEG signal processing techniques, Alzheimer's disease, and dementia diagnostics. The book;

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Signal Processing to Drive Human-Computer Interaction

interacting with computer applications. In this book leading researchers show how these technologies can be used as control channels with signal;

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EEG Brain Signal Classification for Epileptic Seizure Disorder Detection

EEG Brain Signal Classification for Epileptic Seizure Disorder Detection provides the knowledge necessary to classify EEG brain signals;

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Biosignal Processing

: Principles and Practices provides state-of-the-art coverage of contemporary methods in biosignal processing with an emphasis on brain signal analysis;

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