Two-group classification of patients with obstructive sleep apnea based on analysis of brain recurrence

• Published in: Clinical neurophysiology Vol. 125; no. 6; pp. 1174 - 1181
• Main Authors: Kim, Paul Y, McCarty, David E, Wang, Lei, Frilot, Clifton, Chesson, Andrew L, Marino, Andrew A
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Ireland Ltd 01.06.2014
• Subjects: Algorithms; Area Under Curve; Biomarkers; Brain recurrence analysis; Cohort Studies; Electroencephalography; Female; Humans; Linear discrimination analysis; Male; Middle Aged; Neurology; Obstructive sleep apnea; Polysomnography - methods; ROC Curve; Sleep Apnea, Obstructive - classification; Sleep Apnea, Obstructive - complications; Sleep Apnea, Obstructive - diagnosis; Sleep Apnea, Obstructive - physiopathology; Sleep Deprivation - complications; Sleep Deprivation - diagnosis; Sleep Deprivation - physiopathology; Sleep depth; Sleep fragmentation; Sleep Stages - physiology; Biomarkers; Sleep fragmentation; Linear discrimination analysis; Brain recurrence analysis; Obstructive sleep apnea; Sleep depth

Highlights • The severity of obstructive sleep apnea (OSA) was directly reflected in the sleep EEG. • Binary classification of patients with OSA (mild or moderate) was achieved by analyzing the EEG from one derivation. • Analysis of brain recurrence is an effective algorithmic technique for extracti...