Literature DB >> 15977746

A novel technique for the extraction of fetal ECG using polynomial networks.

Khaled Assaleh1, Hasan Al-Nashash.   

Abstract

In this paper, we propose a novel technique for extracting fetal electrocardiogram (FECG) from a thoracic ECG recording and an abdominal ECG recording of a pregnant woman. The polynomial networks technique is used to nonlinearly map the thoracic ECG signal to the abdominal ECG signal. The FECG is then extracted by subtracting the mapped thoracic ECG from the abdominal ECG signal. Visual test results obtained from real ECG signals show that the proposed algorithm is capable of reliably extracting the FECG from two leads only. The visual quality of the FECG extracted by the proposed technique is found to meet or exceed that of published results using other techniques such as the independent component analysis.

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Year:  2005        PMID: 15977746     DOI: 10.1109/TBME.2005.844046

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  2 in total

1.  Invariant heart beat span versus variant heart beat intervals and its application to fetal ECG extraction.

Authors:  Huawen Yan; Hongxing Liu; Xiaolin Huang; Ying Zhao; Junfeng Si; Tiebing Liu
Journal:  Biomed Eng Online       Date:  2014-12-12       Impact factor: 2.819

2.  Sequential Total Variation Denoising for the Extraction of Fetal ECG from Single-Channel Maternal Abdominal ECG.

Authors:  Kwang Jin Lee; Boreom Lee
Journal:  Sensors (Basel)       Date:  2016-07-01       Impact factor: 3.576

  2 in total

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