Outlier-resilient complexity analysis of heartbeat dynamics

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題名:	Outlier-resilient complexity analysis of heartbeat dynamics
作者:	林澂;Lo, Men-Tzung;Chang, Yi-Chung;Lin, Chen;Young, Hsu-Wen Vincent;Lin, Yen-Hung;Ho, Yi-Lwun;Peng, Chung-Kang;Hu, Kun
貢獻者:	生醫理工學院生醫科學與工程學系
關鍵詞:	631/57/2266;639/766/530/2804;639/766/747;692/53/2422;Congestive heart failure;Electrocardiography;Heart - physiology;Heart Diseases - physiopathology;Heart Rate;Humanities and Social Sciences;Humans;Models, Biological;multidisciplinary;Physiology;Science;Time series
日期:	2015-03-06
上傳時間:	2026-04-23 11:18:27 (UTC+8)
出版者:	Nature Publishing Group;London: Nature Publishing Group UK
摘要:	摘要： Complexity in physiological outputs is believed to be a hallmark of healthy physiological control. How to accurately quantify the degree of complexity in physiological signals with outliers remains a major barrier for translating this novel concept of nonlinear dynamic theory to clinical practice. Here we propose a new approach to estimate the complexity in a signal by analyzing the irregularity of the sign time series of its coarse-grained time series at different time scales. Using surrogate data, we show that the method can reliably assess the complexity in noisy data while being highly resilient to outliers. We further apply this method to the analysis of human heartbeat recordings. Without removing any outliers due to ectopic beats, the method is able to detect a degradation of cardiac control in patients with congestive heart failure and a more degradation in critically ill patients whose life continuation relies on extracorporeal membrane oxygenator (ECMO). Moreover, the derived complexity measures can predict the mortality of ECMO patients. These results indicate that the proposed method may serve as a promising tool for monitoring cardiac function of patients in clinical settings. 其他題名： Sci Rep 出版者： London: Nature Publishing Group UK 出版日期： 2015-03-06 出處： Scientific reports, 2015-03, Vol.5 (1), p.8836-8836, Article 8836 資源來源： ProQuest Open Access Content Collection 版權： The Author(s) 2015 版權： Copyright Nature Publishing Group Mar 2015 版權： Copyright © 2015, Macmillan Publishers Limited. All rights reserved 2015 Macmillan Publishers Limited. All rights reserved 識別號： ISSN: 2045-2322 識別號： EISSN: 2045-2322 識別號： DOI: 10.1038/srep08836 識別號： PMID: 25744292
顯示於類別:	[生醫科學與工程學系] 期刊論文

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