Machine learning of brain-specific biomarkers from EEG
Background Electroencephalography (EEG) has a long history as a clinical tool to study
brain function, and its potential to derive biomarkers for various applications is far from …
brain function, and its potential to derive biomarkers for various applications is far from …
Comprehensive Methodology for Sample Augmentation in EEG Biomarker Studies for Alzheimers Risk Classification
Background: Dementia, marked by cognitive decline, is a global health challenge.
Alzheimer's disease (AD), the leading type, accounts for~ 70% of cases …
Alzheimer's disease (AD), the leading type, accounts for~ 70% of cases …
Reproducible Neuronal Components found using Group Independent Component Analysis in Resting State Electroencephalographic Data
Objective Evaluate the reliability of neural components obtained from the appli-cation of the
group ICA (gICA) methodology to resting-state EEG datasets acquired from multiple sites …
group ICA (gICA) methodology to resting-state EEG datasets acquired from multiple sites …
Tackling EEG Test-Retest Reliability with a Pre-Processing Pipeline Based on ICA and Wavelet-ICA
V Henao Isaza, V Cadavid Castro… - Available at SSRN … - papers.ssrn.com
The reliability of Electroencephalography (EEG) measurements in human neurophysiology
can be used to determine reliable measures when detecting changes in brain electrical …
can be used to determine reliable measures when detecting changes in brain electrical …