On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning-Reference-Cited by-同舟云学术

On the Generalization of Sleep Apnea Detection Methods Based on Heart Rate Variability and Machine Learning

Published:2022 Issue: Volume:10 Page:92710-92725
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Padovano Daniele¹^ORCID,Martinez-Rodrigo Arturo¹^ORCID,Pastor Jose M.¹^ORCID,Rieta Jose J.²^ORCID,Alcaraz Raul¹^ORCID

Affiliation:

1. Research Group in Electronic, Biomedical, and Telecommunication Engineering, Instituto de Tecnologías Audiovisuales, University of Castilla-La Mancha, Cuenca, Spain

2. Electronic Engineering Department, BioMIT.org, Universitat Politecnica de Valencia, Valencia, Spain

Funder

University of Castilla?La Mancha and the European Regional Development Fund

University of Castilla-La Mancha

Junta de Comunidades de Castilla-La Mancha

Spanish Ministry of Economy, Industry, and Competitiveness jointly with the European Regional Development Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09867980.pdf?arnumber=9867980

Reference85 articles.

1. Recurrence plots for the analysis of complex systems

2. Recurrence-plot-based measures of complexity and their application to heart-rate-variability data

3. Recurrence Plots of Dynamical Systems

4. Recurrence plot analysis of irregularly sampled data

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