Classification methods to detect sleep apnea in adults based on respiratory and oximetry signals: a systematic review

• Published in: Physiological measurement Vol. 39; no. 3; p. 03TR01
• Main Authors: Uddin, M B, Chow, C M, Su, S W
• Format: Journal Article
• Language: English
• Published: England IOP Publishing 26.03.2018
• Subjects: binary decision-making; central apnea; machine learning; obstructive sleep apnea; polysomnography

Objective: Sleep apnea (SA), a common sleep disorder, can significantly decrease the quality of life, and is closely associated with major health risks such as cardiovascular disease, sudden death, depression, and hypertension. The normal diagnostic process of SA using polysomnography is costly and...