A wearable device for at-home obstructive sleep apnea assessment: State-of-the-art and research challenges.
Front Neurol
; 14: 1123227, 2023.
Article
in English
| MEDLINE | ID: covidwho-2284449
ABSTRACT
In the last 3 years, almost all medical resources have been reserved for the screening and treatment of patients with coronavirus disease (COVID-19). Due to a shortage of medical staff and equipment, diagnosing sleep disorders, such as obstructive sleep apnea (OSA), has become more difficult than ever. In addition to being diagnosed using polysomnography at a hospital, people seem to pay more attention to alternative at-home OSA detection solutions. This study aims to review state-of-the-art assessment techniques for out-of-center detection of the main characteristics of OSA, such as sleep, cardiovascular function, oxygen balance and consumption, sleep position, breathing effort, respiratory function, and audio, as well as recent progress in the implementation of data acquisition and processing and machine learning techniques that support early detection of severe OSA levels.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Type of study:
Diagnostic study
Language:
English
Journal:
Front Neurol
Year:
2023
Document Type:
Article
Affiliation country:
Fneur.2023.1123227
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