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

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作者： Jiali,Xie ^[1] ; Pedro,Fonseca ^[1] ; Johannes P,van Dijk ^[2] ; Xi,Long ^[1] ; Sebastiaan,Overeem ^[3]

作者单位： Biomedical Diagnostics Lab, Department of Electrical Engineering, Eindhoven University of Technology, 5612 AZ Eindhoven, The Netherlands. ^[1] Philips Research, High Tech Campus, 5656 AE Eindhoven, The Netherlands. ^[2] Sleep Medicine Center Kempenhaeghe, 5591 VE Heeze, The Netherlands. ^[3] Department of Orthodontics, Ulm University, 89081 Ulm, Germany. ^[4]

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

DOI 10.3390/diagnostics13132146

PMID 37443540

发布时间 2023-07-18

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Diagnostics (Basel, Switzerland)

2023年13卷13期

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

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

Diagnostics (Basel, Switzerland)

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Diagnostics (Basel, Switzerland)

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