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

• Published in: IEEE access Vol. 8; pp. 218257 - 218278
• Main Authors: Stokes, Patrick A., Prerau, Michael J.
• Format: Journal Article
• Language: English
• Published: United States IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Amplitudes; Brain modeling; Decomposition; Electroencephalography; Estimation; Extended Kalman filter; Heterogeneity; Kalman filter; Mathematical models; Oscillations; Oscillators; Parameter estimation; Parameter modification; Properties (attributes); Signal processing; Sleep; Spectra; spectral analysis; spectral peaks; Spectrogram; Spectrograms; Trajectory; Trajectory analysis; Variability; sleep; spectrogram; Kalman filter; parameter estimation; spectral analysis; Electroencephalography; spectral peaks

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. Capt...