Automatic prediction of obstructive sleep apnea event using deep learning algorithm based on ECG and thoracic movement signals.

Obstructive sleep apnea (OSA) is a sleeping disorder that can cause multiple complications. Our aim is to build an automatic deep learning model for OSA event detection using combined signals from the electrocardiogram (ECG) and thoracic movement signals. We retrospectively obtained 420 cases of PSG...

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Bibliographic Details

Published in:	Acta Oto-Laryngologica Vol. 144; no. 1; pp. 52 - 58
Main Authors:	Li, Zufei, Jia, Yajie, Li, Yanru, Han, Demin
Format:	research tables/charts tracings Journal Article
Published:	Taylor & Francis Ltd Jan2024
Online Access:	View this record in EBSCOhost