IEICE TRANSACTIONS on Fundamentals
A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way
Summary :
Fetal electrocardiogram (FECG) extraction is of vital importance in biomedical signal processing. A promising approach is blind source extraction (BSE) emerging from the neural network fields, which is generally implemented in a semi-blind way. In this paper, we propose a robust extraction algorithm that can extract the clear FECG as the first extracted signal. The algorithm exploits the fact that the FECG signal's kurtosis value lies in a specific range, while the kurtosis values of other unwanted signals do not belong to this range. Moreover, the algorithm is very robust to outliers and its robustness is theoretically analyzed and is confirmed by simulation. In addition, the algorithm can work well in some adverse situations when the kurtosis values of some source signals are very close to each other. The above reasons mean that the algorithm is an appealing method which obtains an accurate and reliable FECG.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E91-A No.3 pp.916-920
- Publication Date
- 2008/03/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1093/ietfec/e91-a.3.916
- Type of Manuscript
- LETTER
- Category
- Neural Networks and Bioengineering
Authors
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Yalan YE, Zhi-Lin ZHANG, Jia CHEN, "A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 3, pp. 916-920, March 2008, doi: 10.1093/ietfec/e91-a.3.916.
Abstract: Fetal electrocardiogram (FECG) extraction is of vital importance in biomedical signal processing. A promising approach is blind source extraction (BSE) emerging from the neural network fields, which is generally implemented in a semi-blind way. In this paper, we propose a robust extraction algorithm that can extract the clear FECG as the first extracted signal. The algorithm exploits the fact that the FECG signal's kurtosis value lies in a specific range, while the kurtosis values of other unwanted signals do not belong to this range. Moreover, the algorithm is very robust to outliers and its robustness is theoretically analyzed and is confirmed by simulation. In addition, the algorithm can work well in some adverse situations when the kurtosis values of some source signals are very close to each other. The above reasons mean that the algorithm is an appealing method which obtains an accurate and reliable FECG.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.3.916/_p
Copy
@ARTICLE{e91-a_3_916,
author={Yalan YE, Zhi-Lin ZHANG, Jia CHEN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way},
year={2008},
volume={E91-A},
number={3},
pages={916-920},
abstract={Fetal electrocardiogram (FECG) extraction is of vital importance in biomedical signal processing. A promising approach is blind source extraction (BSE) emerging from the neural network fields, which is generally implemented in a semi-blind way. In this paper, we propose a robust extraction algorithm that can extract the clear FECG as the first extracted signal. The algorithm exploits the fact that the FECG signal's kurtosis value lies in a specific range, while the kurtosis values of other unwanted signals do not belong to this range. Moreover, the algorithm is very robust to outliers and its robustness is theoretically analyzed and is confirmed by simulation. In addition, the algorithm can work well in some adverse situations when the kurtosis values of some source signals are very close to each other. The above reasons mean that the algorithm is an appealing method which obtains an accurate and reliable FECG.},
keywords={},
doi={10.1093/ietfec/e91-a.3.916},
ISSN={1745-1337},
month={March},}
Copy
TY - JOUR
TI - A Robust and Non-invasive Fetal Electrocardiogram Extraction Algorithm in a Semi-Blind Way
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 916
EP - 920
AU - Yalan YE
AU - Zhi-Lin ZHANG
AU - Jia CHEN
PY - 2008
DO - 10.1093/ietfec/e91-a.3.916
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2008
AB - Fetal electrocardiogram (FECG) extraction is of vital importance in biomedical signal processing. A promising approach is blind source extraction (BSE) emerging from the neural network fields, which is generally implemented in a semi-blind way. In this paper, we propose a robust extraction algorithm that can extract the clear FECG as the first extracted signal. The algorithm exploits the fact that the FECG signal's kurtosis value lies in a specific range, while the kurtosis values of other unwanted signals do not belong to this range. Moreover, the algorithm is very robust to outliers and its robustness is theoretically analyzed and is confirmed by simulation. In addition, the algorithm can work well in some adverse situations when the kurtosis values of some source signals are very close to each other. The above reasons mean that the algorithm is an appealing method which obtains an accurate and reliable FECG.
ER -
English
