Estimating the Severity of Obstructive Sleep Apnea Using ECG, Respiratory Effort and Neural Networks.
Journal:
IEEE journal of biomedical and health informatics
Published Date:
Jul 2, 2024
Abstract
OBJECTIVE: wearable sensor technology has progressed significantly in the last decade, but its clinical usability for the assessment of obstructive sleep apnea (OSA) is limited by the lack of large and representative datasets simultaneously acquired with polysomnography (PSG). The objective of this study was to explore the use of cardiorespiratory signals common in standard PSGs which can be easily measured with wearable sensors, to estimate the severity of OSA.