Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Mindaugas Galvosas"'
Autor:
Simon Grandjean Lapierre, Jose Luis del Pozo, Peter Small, Matthew Rudd, Juan Carlos Gabaldon-Figueira, Isabel Sanchez-Olivieri, Francisco Carmona-Torre, Reid Moorsmith, Lola Jover, Mindaugas Galvosas, Carlos Chaccour
Publikováno v:
BMJ Open Respiratory Research, Vol 10, Iss 1 (2023)
Introduction Despite its high prevalence and significance, there is still no widely available method to quantify cough. In order to demonstrate agreement with the current gold standard of human annotation, emerging automated techniques require a robu
Externí odkaz:
https://doaj.org/article/c75045faac1d4e1fbcd9c7bc9512ae2a
Autor:
Juan C. Gabaldón-Figueira, Eric Keen, Matthew Rudd, Virginia Orrilo, Isabel Blavia, Juliane Chaccour, Mindaugas Galvosas, Peter Small, Simon Grandjean Lapierre, Carlos Chaccour
Publikováno v:
ERJ Open Research, Vol 8, Iss 2 (2022)
Research question What is the impact of the duration of cough monitoring on its accuracy in detecting changes in the cough frequency? Materials and methods This is a statistical analysis of a prospective cohort study. Participants were recruited in t
Externí odkaz:
https://doaj.org/article/2a408a62a7e949558b622439f28bf808
Autor:
Mindaugas Galvosas, Juan C. Gabaldón-Figueira, Eric M. Keen, Virginia Orrillo, Isabel Blavia, Juliane Chaccour, Peter M. Small, Gerard Giménez, Matthew Rudd, Simon Grandjean Lapierre, Carlos Chaccour
This repository contains the code and data for the paperPerformance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d1e64981f89f4565a9ddf7d65ae60ba
Autor:
Mindaugas Galvosas, Juan C. Gabaldón-Figueira, Eric M. Keen, Virginia Orrillo, Isabel Blavia, Juliane Chaccour, Peter M. Small, Gerard Giménez, Simon Grandjean Lapierre, Carlos Chaccour
Publikováno v:
F1000Research. 11:730
Background: Emerging technologies to remotely monitor patients’ cough show promise for various clinical applications. Currently available cough detection systems all represent a trade-off between convenience and performance. The accuracy of such te