EEG Signal Processing for Biomedical Applications

• Other Authors: Tran, Yvonne (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Technology: general issues; History of engineering & technology; 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
• Online Access: DOAB: download the publication; DOAB: description of the publication

This reprint focuses on electroencephalography (EEG) signal processing in biomedical engineering applications. EEG signals are used widely in clinical and research settings to provide cognitive and emotional state information. In addition to capturing complex neural patterns at high speeds, EEG signals are a reliable and non-invasive way of measuring the electrical activity in the brain. By examining various novel analysis and signal processing methods, this collection of papers provides a better understanding of cognitive states and brain activity.