Sleep quality assessment by parameter optimization

• Published in: Journal of physics. Conference series 2021-11, Vol.2070 (1), p.12013
• Main Authors: Adil, H, Koser, A A, Qureshi, M S, Gupta, A
• Format: Article
• Language: English
• Subjects: Cerebral blood flow (CBF); Electrocardiogram (ECG); Electroencephalography (EEG); Electrooculogram (EOG); Polysomnography (PSG)
• ISSN: 1742-6588; 1742-6596
• DOI: 10.1088/1742-6596/2070/1/012013

Sleep quality measurement is a complex process requires large number of parameters to monitor sleep and sleep cycles. The Gold Standard Polysomnography (PSG) parameters are considered as standard parameters for sleep quality measurement. In the PSG process, number of monitoring parameters are involved for that large number of sensors are used which makes this process complex, expensive and obtrusive. There is need to find optimize parameters which are directly involve in providing accurate information about sleep and reduce the process complexity. Our Parameter Optimization method is based on parameter reduction by finding key parameters and their inter dependent parameters. Sleep monitoring by these optimize parameter is different from both, clinical complex (PSG) used in hospitals and commercially available devices which work on dependent and dynamic parameter sensing. Optimized parameters obtained from PSG parameters are Electrocardiogram (ECG), Electrooculogram (EOG), Electroencephalography (EEG) and Cerebral blood flow (CBF). These key parameters show close correlation with sleep and hence reduce complexity in sleep monitoring by providing simultaneous measurement of appropriate signals for sleep analysis.