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Signal Processing for Brain–Computer Interfaces

With the astounding ability to capture a wealth of brain signals, Brain–Computer Interfaces (BCIs) have the potential to revolutionize humans’ quality of life by processing these brain signals for controlling external devices. Being an emerging and innovative field, BCIs offer numerous applications...

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Enregistré dans:
Format: Online
Langue:anglais
Publié: MDPI - Multidisciplinary Digital Publishing Institute 2024
Sujets:
functional near-infrared spectroscopy (fNIRS)
finger-tapping
classification
motor cortex
machine learning
artificial neural network (ANN)
upper-limb prosthesis
transhumeral amputee
error-related potentials
brain-computer interface
cerebral palsy
amputation
stroke
neurorehabilitation
artificial neural network
functional near-infrared spectroscopy
convolutional neural network
long short-term memory
BCI
fNIRS
SRC
channel selection
unmanned aerial vehicle
spectroscopy
brain–computer interface application
mathematical modelling
semiconductor laser
schizophrenia
obsessive compulsive disorder
migraine
Stroop test
EEG
functional NIRS
multimodal neuroimaging
concurrent recording
integrated analysis
brain–computer interface (BCI)
electroencephalography (EEG)
emotion classification
convolutional neural network (ConvNet)
smart home
phone control
event-related potentials
P300
active BCI
mental state
modulation features
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
Accès en ligne:ONIX_20240514_9783725805204_376
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