Extraction of Fetal ECG from Abdominal ECG and Heart Rate Variability Analysis

被引：7

作者：

Lamesgin, Gizeaddis ^{[1
]}

Kassaw, Yonas ^{[1
]}

Assefa, Dawit ^{[1
]}

机构：

[1] Univ Addis Ababa, Addis Ababa Inst Technol, Ctr Biomed Engn, Div Bioinformat, Addis Ababa, Ethiopia

来源：

AFRO-EUROPEAN CONFERENCE FOR INDUSTRIAL ADVANCEMENT, AECIA 2014 | 2015年 / 334卷

关键词：

ECG; Heart Rate Variability; QRS; Signal Processing; S transform; Wavelets; Hilbert transform;

D O I：

10.1007/978-3-319-13572-4_5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Non-invasive detection of fetal heart activity using abdominal electrocardiogram (AECG) is crucial for diagnosis as well as prognosis of heart defects. Most of the detection schemes proposed in the literature, however, require signals recorded either from both the mother's thoracic and abdominal regions or only the mother's abdomen but with multiple leads. The scheme proposed in the current study uses signals recorded from the mother's abdomen by a single ECG lead for efficient maternal QRS detection, fetal ECG extraction and enhancement, as well as fetal heart rate variability analysis by combining spectral analysis techniques with selected filters. The algorithm has been tested on 20 non-invasively recorded abdominal signals from the MIT/physioNet database and the results found were very promising.

引用

页码：65 / 76

页数：12

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