Age-integrated artificial intelligence framework for sleep stage classification and obstructive sleep apnea screening.

ABSTRACT:

Introduction

Sleep is an essential function to sustain a healthy life, and sleep dysfunction can cause various physical and mental issues. In particular, obstructive sleep apnea (OSA) is one of the most common sleep disorders and, if not treated in a timely manner, OSA can lead to critical problems such as hypertension or heart disease.

Methods

The first crucial step in evaluating individuals' quality of sleep and diagnosing sleep disorders is to classify sleep stages using polysomnographic (PSG) data including electroencephalography (EEG). To date, such sleep stage scoring has been mainly performed manually via visual inspection by experts, which is not only a time-consuming and laborious process but also may yield subjective results. Therefore, we have developed a c

SUBMITTER: Kang C 

PROVIDER: S-EPMC10300414 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature