Automatic prediction of obstructive sleep apnea event using deep learning algorithm based on ECG and thoracic movement signals
CONCLUSIONS AND SIGNIFICANCE: The automatic OSA event detection model using combined signals of ECG and thoracic movement signal with the ResNeSt34 algorithm is reliable and can be used for OSA screening.PMID:38240117 | DOI:10.1080/00016489.2024.2301732
Source: Acta Oto-Laryngologica - Category: ENT & OMF Authors: Zufei Li Yajie Jia Yanru Li Demin Han Source Type: research
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