1206 Automated Sleep Apnea Assessment Based On Machine Learning And Wearable Technology

• Published in: Sleep (New York, N.Y.) Vol. 43; no. Supplement_1; p. A461
• Main Authors: Chiu, H, Lee, P, Ku, B, Liu, Y
• Format: Journal Article
• Language: English
• Published: US Oxford University Press 27.05.2020
• Subjects: Automation; Machine learning; Sleep apnea; Wearable computers

Abstract Introduction Obstructive sleep apnea (OSA) is a condition characterized by repeated episodes of partial or complete obstruction of the respiratory passages during the sleep. Traditional polysomnography (PSG) for OSA estimation is bulky and time-consuming for daily use. Therefore, this study...