[{"key":"dc.contributor.author","value":"Garde, Ainara","language":""},{"key":"dc.contributor.author","value":"Dehkordi, Parastoo","language":""},{"key":"dc.contributor.author","value":"Ansermino, John Mark","language":""},{"key":"dc.contributor.author","value":"Dumont, G. (Guy), 1951-","language":""},{"key":"dc.date.accessioned","value":"2019-06-10T18:29:56Z","language":""},{"key":"dc.date.available","value":"2019-06-10T18:29:58Z","language":""},{"key":"dc.date.issued","value":"2017-06-16","language":""},{"key":"dc.identifier","value":"10.3390\/e19060282","language":"en"},{"key":"dc.identifier.citation","value":"Entropy 19 (6): 282 (2017)","language":"en"},{"key":"dc.identifier.uri","value":"http:\/\/hdl.handle.net\/2429\/70607","language":""},{"key":"dc.description.abstract","value":"Pulse rate variability (PRV), an alternative measure of heart rate variability (HRV), is altered during obstructive sleep apnea. Correntropy spectral density (CSD) is a novel spectral analysis that includes nonlinear information. We recruited 160 children and recorded SpO\u2082 and photoplethysmography (PPG), alongside standard polysomnography. PPG signals were divided into 1-min epochs and apnea\/hypoapnea (A\/H) epochs labeled. CSD was applied to the pulse-to-pulse interval time series (PPIs) and five features extracted: the total spectral power (TP: 0.01\u20130.6 Hz), the power in the very low frequency band (VLF: 0.01\u20130.04 Hz), the normalized power in the low and high frequency bands (LFn: 0.04\u20130.15 Hz, HFn: 0.15\u20130.6 Hz), and the LF\/HF ratio. Nonlinearity was assessed with the surrogate data technique. Multivariate logistic regression models were developed for CSD and power spectral density (PSD) analysis to detect epochs with A\/H events. The CSD-based features and model identified epochs with and without A\/H events more accurately relative to PSD-based analysis (area under the curve (AUC) 0.72 vs. 0.67) due to the nonlinearity of the data. In conclusion, CSD-based PRV analysis provided enhanced performance in detecting A\/H epochs, however, a combination with overnight SpO\u2082 analysis is suggested for optimal results.","language":"en"},{"key":"dc.language.iso","value":"eng","language":"en"},{"key":"dc.publisher","value":"Multidisciplinary Digital Publishing Institute","language":"en"},{"key":"dc.rights","value":"CC BY 4.0","language":""},{"key":"dc.rights.uri","value":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/","language":""},{"key":"dc.subject","value":"Pulse rate variability","language":"en"},{"key":"dc.subject","value":"Correntropy","language":"en"},{"key":"dc.subject","value":"Smartphone-based pulse oximetry","language":"en"},{"key":"dc.title","value":"Correntropy-Based Pulse Rate Variability Analysis in Children with Sleep Disordered Breathing","language":"en"},{"key":"dc.type","value":"Text","language":"en"},{"key":"dc.type.text","value":"Article","language":"en"},{"key":"dc.description.affiliation","value":"Applied Science, Faculty of","language":"en"},{"key":"dc.description.affiliation","value":"Medicine, Faculty of","language":"en"},{"key":"dc.description.affiliation","value":"Non UBC","language":"en"},{"key":"dc.description.affiliation","value":"Anesthesiology, Pharmacology and Therapeutics, Department of","language":"en"},{"key":"dc.description.affiliation","value":"Electrical and Computer Engineering, Department of","language":"en"},{"key":"dc.description.reviewstatus","value":"Reviewed","language":"en"},{"key":"dc.description.scholarlevel","value":"Faculty","language":"en"},{"key":"dc.date.updated","value":"2019-04-04T07:01:56Z","language":""}]