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EEG Signal Processing for Biomedical Applications

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Palabras clave – provistas por la editorial

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

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