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

Xie, Jiali; Fonseca, Pedro; van Dijk, Johannes P; Long, Xi; Overeem, Sebastiaan

Xie, Jiali; Fonseca, Pedro; van Dijk, Johannes P; Long, Xi; Overeem, Sebastiaan.

Afiliación

Xie J; Biomedical Diagnostics Lab, Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Fonseca P; Biomedical Diagnostics Lab, Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
van Dijk JP; Philips Research, High Tech Campus, 5656 AE Eindhoven, The Netherlands.
Long X; Biomedical Diagnostics Lab, Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands.
Overeem S; Sleep Medicine Center Kempenhaeghe, 5591 VE Heeze, The Netherlands.

Diagnostics (Basel) ; 13(13)2023 Jun 23.

Article en En | MEDLINE | ID: mdl-37443540

Palabras clave

ECG-derived respiration; apnea; electrocardiogram; recurrent neural network; respiratory effort; sleep-disordered breathing

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Diagnostics (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Países Bajos Pais de publicación: Suiza

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