Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals

no code implementations • 13 May 2021 • Marco A. Pinto-Orellana, Habib Sherkat, Peyman Mirtaheri, Hugo L. Hammer

DASAR can provide a more accurate representation of the (highly contrasted) EEG and fNIRS frequency ranges by increasing the estimation accuracy in user-defined spectrum region of interest (SROI).

EEG

A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy

no code implementations • 22 Jan 2020 • Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri, Rune Jonassen, Anis Yazidi, Hugo L. Hammer

In the current paper, we introduce a parametric data-driven model for functional near-infrared spectroscopy that decomposes a signal into a series of independent, rescaled, time-shifted, hemodynamic basis functions.