3 citations · 7 across the 4 of their papers we have counts for
4 papers
The Complex-Pole Filter Representation (COFRE) for spectral modeling of fNIRS signals
Marco A. Pinto Orellana, Peyman Mirtaheri, Hugo L. Hammer
The complex-pole frequency representation (COFRE) is introduced in this paper as a new approach for spectrum modeling in biomedical signals. Our method allows us to estimate the sp…
Dyadic aggregated autoregressive (DASAR) model for time-frequency representation of biomedical signals
Marco A. Pinto-Orellana, Habib Sherkat, Peyman Mirtaheri +1
This paper introduces a new time-frequency representation method for biomedical signals: the dyadic aggregated autoregressive (DASAR) model. Signals, such as electroencephalograms…
SCAU: Modeling spectral causality for multivariate time series with applications to electroencephalograms
Marco Antonio Pinto-Orellana, Peyman Mirtaheri, Hugo L. Hammer +1
Electroencephalograms (EEG) are noninvasive measurement signals of electrical neuronal activity in the brain. One of the current major statistical challenges is formally measuring…
A hemodynamic decomposition model for detecting cognitive load using functional near-infrared spectroscopy
Marco A. Pinto-Orellana, Diego C. Nascimento, Peyman Mirtaheri +3
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-sh…