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...

Повний опис

Збережено в:

Бібліографічні деталі
Формат:	Online
Мова:	Англійська
Опубліковано:	MDPI - Multidisciplinary Digital Publishing Institute 2024
Предмети:	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
Онлайн доступ:	ONIX_20240514_9783725805204_376
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Signal Processing for Brain–Computer Interfaces

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