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EEG Signal Processing for Biomedical Applications

This reprint focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information. In addition to capturing complex neural patterns at high speeds, EEG sign...

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Bibliographic Details
Main Author: Tran, Yvonne
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Machine Learning
Frequency-specific
Functional Connectivity Network
Phase Locking Value
Coherence
Electroencephalogram (eeg)
Attractor
Spinal Cord Injury
Sustained Attention
Complex Pearson Correlation Coefficients
Canonical Correlation Analysis (cca)
Cerebral Cortex Stimulation
Mental Fatigue
N/a
Data Analysis
Feature Selection
Connectivity
Deep Learning
Functional Near-infrared Spectroscopy (fnirs)
Features
Seizure Detection
Neural Subspace
Latent Variables
Epilepsy
History Of Engineering And Technology / Bicssc
Mental Stress
Review
Traumatic Brain Injury
Transcranial Magnetic Stimulation
Cross-task
Bci
Vigilance Decrement
Cross-participant
Technology: General Issues / Bicssc
Wavelet Spectrum
Fractal Dimension
Feature Extraction
Electroencephalography
Conductive Material
Virtual Reality
Functional Connectivity
Als
Classifier
E-textile
Transfer Learning
Weighted Phase Lag Index
Head Phantom
Neuropathic Pain
Otsu
Task-generic
Acupuncture
Adaptive Threshold
Brain Activity
Eeg
Ridge
Segmentation
Time-frequency Features
Electromagnetic Influence
Phase Connectivity
Multilayer Network
Erp
Neural
Classification
Connectivity Network
Speech Discrimination
Dimensionality
Motion Artifact
Neurostimulation
Decoding
Wavelet Packet Decomposition (wpd)
Electroencephalogram
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This reprint focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information. In addition to capturing complex neural patterns at high speeds, EEG signals are a reliable and non-invasive way of measuring the electrical activity in the brain. By examining various novel analysis and signal processing methods, this collection of papers provides a better understanding of cognitive states and brain activity.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (320 p.)
ISBN:books978-3-0365-6536-1
9783036565354
9783036565361

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