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EEG Signal Processing Techniques and Applications

This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time–frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques....

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Format: Online
Idioma:anglès
Publicat: MDPI - Multidisciplinary Digital Publishing Institute 2024
Matèries:
CHB-MIT dataset
deep learning
epilepsy
seizure detection
XLtek EEG
electroencephalography (EEG)
long short-term memory (LSTM)
theta frequency band
longitudinal bipolar montage (LB)
signal processing
classification
sensor fusion
mental workload
n-back
artificial intelligence
feature engineering
EEG
functional connectivity
manipulability
object observation
phase locking value
motor imagery
circulant singular spectrum analysis (CiSSA)
common spatial patterns (CSP)
time-frequency-spatial features
brain–computer interface
gamification
stroke rehabilitation
frustration
perceived control
performance accommodation mechanisms
game design
neuromarketing
SMOTE
LSTM
DWT
PSD
electromyography
electroencephalography
satisfaction
subjective response
robot control
emotion recognition
EEG feature extraction
valence
arousal
pattern recognition
depth of anesthesia
electroencephalogram
patient state index
prefrontal channels
time and frequency features
cross-domain transfer learning
electrocardiography (ECG)
convolutional neural network (CNN)
seizure prediction
sleep staging
sparse representation classification
brain computer interfaces
individual gamma frequency (IGF)
auditory steady-state response (ASSR)
dry electrodes
center-out reaching
event-related spectral perturbation (ERSP)
event-related desynchronization (ERD)
spectral Granger causality
in degree and out degree
ensemble learning
machine learning
pilot deficiencies
artifact detection
tangent space
EEG preprocessing
heterogeneous data
mental states classification
feature extraction
n/a
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Accés en línia:ONIX_20240514_9783725800810_92
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Sumari:This Special Issue provides a forum for original high-quality research in Electroencephalography (EEG) signal pre-processing, modelling, and analysis in the time, space, frequency, or time–frequency domains. It focuses particularly on the utilization of machine learning and deep learning techniques. The range of applications covers healthcare, emotion, motor imagery, external stimulation, mental workload, and satisfaction.

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