Multivariate ECG analysis for apnoea-bradycardia detection and characterisation in preterm infants

被引：11
|
作者：
Altuve, Miguel [1 ,2 ,4 ,9 ]
Carrault, Guy [5 ,6 ,9 ]
Cruz, Julio [2 ,10 ,12 ]
Beuchee, Alain [4 ,7 ,8 ,9 ,11 ]
Pladys, Patrick [4 ,9 ,11 ]
Hernandez, Alfredo I. [3 ,5 ,6 ,9 ]
机构：
[1] Univ Simon Bolivar, Dept Ind Technol, Caracas 1080, Venezuela
[2] Univ Simon Bolivar, Elect Engn, Caracas 1080, Venezuela
[3] Univ Simon Bolivar, Elect Engn Biomed Opt, Caracas 1080, Venezuela
[4] Univ Rennes 1, LTSI, F-35000 Rennes, France
[5] Univ Rennes 1, LTSI, Signal Proc & Telecommun, F-35000 Rennes, France
[6] Univ Rennes 1, LTSI, Signal & Image Proc Lab, F-35000 Rennes, France
[7] Univ Rennes 1, LTSI, Paediat, F-35000 Rennes, France
[8] Univ Rennes 1, LTSI, Biol & Life Sci, F-35000 Rennes, France
[9] INSERM, U642, F-35000 Rennes, France
[10] Univ Simon Bolivar, Dept Elect & Circuit, Caracas 1080, Venezuela
[11] Pole Med Chirurg Pediat & Genet Clin Neonatol, F-35000 Rennes, France
[12] Univ Simon Bolivar, Dept Elect & Circuit, Caracas, Venezuela
来源：
INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY | 2011年 / 5卷 / 2-3期
关键词：
apnoea; bradycardia; preterm infant; electrocardiogram; beat detection; ECG segmentation; WT; wavelet transform; EAs; evolutionary algorithms;
D O I：
10.1504/IJBET.2011.039201
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
An analysis of the information content of new features derived from the electrocardiogram of preterm infants is presented. Beat detection and segmentation methods, specifically adapted to this population through evolutionary algorithms, led to an improved sensitivity and positive predictive value. RR interval, R-wave amplitude and QRS duration time-series were extracted at rest (T1), before (T2), during (T3) and after (T4) apnoea-bradycardia episodes. Significant variations for T1-T2 vs. T1-T3 and T1-T3 vs. T1-T4 were observed. Results reveal changes in the R-wave amplitude and QRS duration at the onset and termination of apnoea-bradycardia episodes which could be useful for their detection and characterisation.
引用
收藏
页码：247 / 265
页数：19
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