Sleep Quality Estimation by Cardiopulmonary Coupling Analysis

• Published in: IEEE transactions on neural systems and rehabilitation engineering Vol. 26; no. 12; pp. 2233 - 2239
• Main Authors: Mendonca, Fabio, Mostafa, Sheikh Shanawaz, Morgado-Dias, Fernando, Ravelo-Garcia, Antonio G.
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.12.2018; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Algorithms; Artificial neural networks; CAP rate; Cardiopulmonary coupling; Classification algorithms; Classifiers; Coupling; Couplings; EKG; Electrocardiography; Electroencephalography; Eye movements; Health care; Monitoring; Neural networks; NREM sleep; Quality; Quality assessment; REM sleep; Sleep; Sleep deprivation; sleep quality; Time measurement; Wellness

The gold standard for assessment of sleep quality is the polysomnography, where physiological signals are used to generate both quantitative and qualitative measurements. Despite the production of highly accurate results, polysomnography is a complex, uncomfortable, and expensive process, inaccessib...