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...
| Publicado en: | Acta Oto-Laryngologica Vol. 144; no. 1; pp. 52 - 58 |
|---|---|
| Autores principales: | , , , |
| Formato: | research tables/charts tracings Journal Article |
| Publicado: |
Taylor & Francis Ltd
Jan2024
|
| Acceso en línea: | Ver este registro en EBSCOhost |