3 citations · 7 across the 5 of their papers we have counts for
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eess.SP2021★ 1 cited
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…
eess.SP2020★ 3 cited
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…