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The Use of Respiratory Effort Improves an ECG-Based Deep Learning Algorithm to Assess Sleep-Disordered Breathing

Background: Sleep apnea is a prevalent sleep-disordered breathing (SDB) condition that affects a large population worldwide. Research has demonstrated the potential of using electrocardiographic (ECG) signals (heart rate and ECG-derived respiration, EDR) to detect SDB. However, EDR may be a suboptim...

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Detalles Bibliográficos
Autores principales: Xie, Jiali, Fonseca, Pedro, van Dijk, Johannes P., Long, Xi, Overeem, Sebastiaan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10340311/
https://www.ncbi.nlm.nih.gov/pubmed/37443540
http://dx.doi.org/10.3390/diagnostics13132146