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

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

Reference34 articles.

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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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1. MSigSeg: An R package for multiple signals segmentation;Computer Methods and Programs in Biomedicine;2025-06

2. Research on respiratory waveform detection based on multi-fiber end-face coupling;Sensors and Actuators A: Physical;2025-04

3. Incident Cheyne-Stokes respiration occurring in CPAP-treated patients and cardiovascular risk: a 2-years prospective follow-up (The Alertapnee study);Respiratory Research;2025-01-22