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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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Guardat en:
Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2023
Matèries:
EEG
transfer learning
review
decoding
classification
e-textile
head phantom
electroencephalography
conductive material
mental stress
data analysis
connectivity network
machine Learning
deep learning
vigilance decrement
sustained attention
mental fatigue
cross-participant
cross-task
task-generic
electroencephalogram
wavelet spectrum
ridge
segmentation
phase connectivity
epilepsy
traumatic brain injury
feature extraction
functional connectivity network
time-frequency features
machine learning
ALS
classifier
neural
connectivity
frequency-specific
BCI
acupuncture
dimensionality
neural subspace
latent variables
attractor
adaptive threshold
coherence
functional connectivity
multilayer network
otsu
phase locking value
weighted phase lag index
complex Pearson correlation coefficients
transcranial magnetic stimulation
cerebral cortex stimulation
electromagnetic influence
neurostimulation
brain activity
virtual reality
neuropathic pain
spinal cord injury
fractal dimension
ERP
speech discrimination
seizure detection
features
feature selection
motion artifact
electroencephalogram (EEG)
functional near-infrared spectroscopy (fNIRS)
wavelet packet decomposition (WPD)
canonical correlation analysis (CCA)
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology
Accés en línia:ONIX_20230307_9783036565354_35
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Sumari: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.

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