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Application of Electroencephalography (EEG) Signal Analysis in Disease Diagnosis

Over the years, the development of several brain imaging techniques has provided new tools for capturing information about the structure and functions of the brain, which have proven useful in different fields, such as neurosurgery, neurology, and cognitive science. In particular, electroencephalogr...

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Materialtyp: Online
Språk:engelska
Utgiven: MDPI - Multidisciplinary Digital Publishing Institute 2025
Ämnen:
EEG
electroencephalography
auditory feedback
DIVA model
feedback perturbation
vocal compensation
migraine
luteal phase
absolute power
ERPs
BCI
Shadowing Tasks
freezing of gait
Parkinson&rsquo
s disease
voluntary stopping
convolutional neural network
EEGNet
Shallow ConvNet
Deep ConvNet
carotid stenosis
brain electrical activity
postoperative cognitive dysfunction
coronary artery bypass grafting
carotid endarterectomy
postoperative delirium
spinal surgery
wearable device
emotions
facial perception
power spectral density
coherence
detrended moving average
DMA
Emotiv EPOC
brainvision
reliability
accuracy
arousal
valence
mental load
consumer-grade EEG
research-grade EEG
stroke
conduction aphasia
high-density EEG
brain functional connectivity
rehabilitation
diagnostics
dual-tree complex wavelet transform (DTCWT)
epilepsy
LightGBM
seizure type classification
Alzheimer&rsquo
s disease (AD)
EEG signals
power spectrum
FIR filtering
supervised machine learning
fast Fourier transformation (FFT)
phase synchronization
acute stress disorder
electroencephalogram (EEG)
footshock
information theory
sleep
epileptic seizure
entropy
spectral power
random forest
gradient-boosting decision tree
support vector machine
k-nearest neighbors
quantitative electroencephalogram (qEEG)
neurometrics
neurology
psychiatry
disease
health
phenotype
brain
mind
cognitive vulnerability
depression
self-referential processing
emotion processing
language
event-related brain potentials
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
thema EDItEUR::M Medicine and Nursing::MJ Clinical and internal medicine::MJC Diseases and disorders::MJCL Oncology
Länkar:ONIX_20250220_9783725829118_486
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Sammanfattning:Over the years, the development of several brain imaging techniques has provided new tools for capturing information about the structure and functions of the brain, which have proven useful in different fields, such as neurosurgery, neurology, and cognitive science. In particular, electroencephalography (EEG) has become a powerful instrument successfully employed in both clinical applications and cognitive neuroscience, since it is a non-invasive, easy-to-use, portable, and relatively low-cost tool. EEG is used for detecting and classifying a spectrum of neurological disorders, including epilepsy, sleep disorders, traumatic brain injuries, psychiatric conditions, and neurodegenerative diseases like Alzheimer's and Parkinson's. In summary, the processing and analyzing of EEG signals can be conveniently exploited to detect abnormalities in the case of a pathological state and improve the early diagnosis of brain diseases. This reprint contains studies regarding the application of EEG signal analysis in disease diagnosis, covering different processing methods and several neurological disorders (Parkinson’s disease, stroke, epilepsy, and sleep disorders).

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