Nonlinear characterization and complexity analysis of cardiotocographic examinations using entropy measures

Springer Science and Business Media LLC - Tập 76 - Trang 1305-1320 - 2018
João Alexandre Lobo Marques1, Paulo C. Cortez2, João P. V. Madeiro3, Victor Hugo C. de Albuquerque4, Simon James Fong5, Fernando S. Schlindwein6
1SBU, University of Saint Joseph, Macau, China
2Department of Teleinformatics Engineering, Federal University of Ceara, Fortaleza, Brazil
3Department of Engineering, UNILAB, Redenção, Brazil
4Graduate Program in Applied Informatics, UNIFOR, Fortaleza, Brazil
5Department of Computer and Information Science, UMAC, Macau, China
6Department of Engineering, University of Leicester, Leicester, UK

Tóm tắt

The nonlinear analysis of biological time series provides new possibilities to improve computer aided diagnostic systems, traditionally based on linear techniques. The cardiotocography (CTG) examination records simultaneously the fetal heart rate (FHR) and the maternal uterine contractions. This paper shows, at first, that both signals present nonlinear components based on the surrogate data analysis technique and exploratory data analysis with the return (lag) plot. After that, a nonlinear complexity analysis is proposed considering two databases, intrapartum (CTG-I) and antepartum (CTG-A) with previously identified normal and suspicious/pathological groups. Approximate Entropy (ApEn) and Sample Entropy (SampEn), which are signal complexity measures, are calculated. The results show that low entropy values are found when the whole examination is considered, $$\hbox {ApEn}=0.3244\pm 0.1078$$ and $$\hbox {SampEn}=0.2351\pm 0.0758$$ ($$\hbox {average}\pm \hbox {standard}$$ deviation). Besides, no significant difference was found between the normal ($$\hbox {ApEn}=0.3366\pm 0.1250$$ and $$\hbox {SampEn}=0.2532\pm 0.0818$$) and suspicious/pathological ($$\hbox {ApEn}=0.3420\pm 0.1220$$ and $$\hbox {SampEn}=0.2457\pm 0.0850$$) groups for the CTG-A database. For a better analysis, this work proposes a windowed entropy calculation considering 5-min window. The windowed entropies presented higher average values ($$\hbox {ApEn}=0.6505\pm 0.2301$$ and $$\hbox {SampEn}=0.5290\pm 0.1188$$) for the CTG-A and ($$\hbox {ApEn}=0.5611\pm 0.1970$$ and $$\hbox {SampEn}=0.4909\pm 0.1782$$) for the CTG-I. The changes during specific long-term events show that entropy can be considered as a first-level indicator for strong FHR decelerations ($$\hbox {ApEn}=0.1487\pm 0.0341$$ and $$\hbox {SampEn}=0.1289\pm 0.0301$$), FHR accelerations ($$\hbox {ApEn}=0.1830\pm 0.1078$$ and $$\hbox {SampEn}=0.1501\pm 0.0703$$) and also for pathological behavior such as sinusoidal FHR ($$\hbox {ApEn}=0.1808\pm 0.0445$$ and $$\hbox {SampEn}=0.1621\pm 0.0381$$).

Tài liệu tham khảo

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