Predicting <scp>Apnea‐Hypopnea</scp> Index in Patients with Obstructive Sleep Apnea Using Unsegmented <scp>ECG‐Signal‐Based</scp> Algorithms

نویسندگان

چکیده

Obstructive sleep apnea (OSA) is a common disorder and diagnosed by polysomnography (PSG) as the gold standard. However, PSG time‐consuming costly test, patients have to endure long waits before receiving test in hospital. In view of this, portable wearable screening tools for OSA prediction been developed recently low‐cost easy‐to‐use method. this paper, an detection model, based on regression approach, using unsegmented electrocardiography (ECG) signals directly estimate apnea‐hypopnea index (AHI) value, which first report literature. manner, work can provide more details assessment users doctors. © 2023 Institute Electrical Engineer Japan Wiley Periodicals LLC.

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ژورنال

عنوان ژورنال: Ieej Transactions on Electrical and Electronic Engineering

سال: 2023

ISSN: ['1931-4981', '1931-4973']

DOI: https://doi.org/10.1002/tee.23868