Reduced semantic context and signal-to-noise ratio increase listening effort as measured using functional near-infrared spectroscopy

Autor: Frank A. Russo, Huiwen Goy, Joseph Rovetti, Michael Zara

OBJECTIVES Understanding speech-in-noise can be highly effortful. Decreasing the signal-to-noise ratio (SNR) of speech increases listening effort, but it is relatively unclear if decreasing the level of semantic context does as well. The current stud

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8066a39055cd9827949245f91433cc4
https://doi.org/10.31234/osf.io/r5e4x

A Singular Spectrum Analysis-Based Data-Driven Technique for the Removal of Cardiogenic Oscillations in Esophageal Pressure Signals

Autor: Lu Chen, Laurent Brochard, Rémi Coudroy, Sridhar Krishnan, Takeshi Yoshida, Sourav Kumar Mukhopadhyay, Michael Zara, Irene Telias

Publikováno v: IEEE Journal of Translational Engineering in Health and Medicine
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-11 (2020)

Objective: Assessing the respiratory and lung mechanics of the patients in intensive care units is of utmost need in order to guide the management of ventilation support. The esophageal pressure (\documentclass[12pt]{minimal} \usepackage{amsmath} \us

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3587008f9a82da3516231159e22a9e75
https://pubmed.ncbi.nlm.nih.gov/32782854