Estimation of Time-Varying Spectral Peaks and Decomposition of EEG Spectrograms.

ABSTRACT: Detection of spectral peaks and estimation of their properties, including frequency and amplitude, are fundamental to many applications of signal processing. Electroencephalography (EEG) of sleep, in particular, displays characteristic oscillations that change continuously throughout the night. Capturing these dynamics is essential to understanding the sleep process and characterizing the heterogeneity observed across individuals. Most sleep EEG analyses rely on either time-averaged spectra or bandpassed amplitude/power. Unfortunately, these approaches obscure the time-variability of peak properties, require specification of a priori criteria, and cannot distinguish power from nearby oscillations. More sophisticated approaches, using various spectral models, have been proposed to better es

SUBMITTER: Stokes PA 

PROVIDER: S-EPMC8015841 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature