Features of Cheyne-Stokes respiration automatically extracted from CPAP airflow signal raw data: Identification of discriminating features to detect heart failure-Reference-Cited by-同舟云学术

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Features of Cheyne-Stokes respiration automatically extracted from CPAP airflow signal raw data: Identification of discriminating features to detect heart failure

Published:2023-09 Issue: Volume:86 Page:105227
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Midelet Alphanie,Prigent Arnaud,Schaeffer Marie-Caroline,Hy Ronan Le,Pépin Jean-Louis,Bailly Sébastien

Funder

Agence Nationale de la Recherche

Fondation Université Grenoble Alpes

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference34 articles.

1. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis;Benjafield;Lancet Respir. Med.,2019

2. Clinical guideline for the evaluation, management and long-termcare of obstructive sleep apnea in adults;Epstein;J. Clin. Sleep Med.,2009

3. CPAP telemonitoring can track Cheyne-Stokes respiration and detect serious cardiac events: the AlertApnée Study;Prigent;Respirology,2022

4. l. Schmick, E. Heckman, R. Owens, R. Thomas, The respiratory signature: a novel concept to leverage continuous positive airway pressure therapy as an early warning system for exacerbations of common diseases such as heart failure, J. Clin. Sleep Med. 15(6) (2019) 923-927.

5. M. Light, J. Orr, A. Malhotra, R. Owens, Continuous positive airway pressure device detects atrial fibrillation induced central sleep apnoea, Lancet (2018) 392:160.

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