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Cited by 171

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals

Open access
Sameni, Reza, Clifford, Gari D, Jutten, Christian, Shamsollahi, Mohammad B·2007·EURASIP Journal on Advances in Signal Processing

Abstract

A three-dimensional dynamic model of the electrical activity of the heart is presented. The model is based on the single dipole model of the heart and is later related to the body surface potentials through a linear model which accounts for the temporal movements and rotations of the cardiac dipole, together with a realistic ECG noise model. The proposed model is also generalized to maternal and fetal ECG mixtures recorded from the abdomen of pregnant women in single and multiple pregnancies. The applicability of the model for the evaluation of signal processing algorithms is illustrated using independent component analysis. Considering the difficulties and limitations of recording long-term ECG data, especially from pregnant women, the model described in this paper may serve as an effective means of simulation and analysis of a wide range of ECGs, including adults and fetuses.

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Crossref · 10.1155/2007/43407

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Metadata

Authors
Sameni, R., Clifford, G. D., Jutten, C., & Shamsollahi, M. B.
Venue
EURASIP Journal on Advances in Signal Processing
Published
2007-01-16
Volume
2007
Issue
1
ISSN
  • 1110-8657 (ISSN-L)
  • 1687-6180
OpenAlex
W2086544244
Cited by
171
References
3
FWCI
6.70
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals. https://app.cochat.ai/papers/10.1155/2007/43407
The paper
Sameni, R., Clifford, G. D., Jutten, C., & Shamsollahi, M. B. (2007). Multichannel ECG and Noise Modeling: Application to Maternal and Fetal ECG Signals. EURASIP Journal on Advances in Signal Processing. https://doi.org/10.1155/2007/43407

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.