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Université d'Orléans |  |
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Université d'Orléans | |
| HAL: hal-00653547, version 1 |
| DOI: 10.1109/IEMBS.2010.5627304 |
| Detailed view |  Export this paper |
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| 32nd Annual International Conference of the IEEE EMBS, Buenos Aires : Argentine (2010) |
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| Foetal PQRST Extraction from ECG Recordings using Cyclostationarity-Based Source Separation Method |
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| Michel Haritopoulos 1Cécile Capdessus 1 |
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| (2010-11-11) |
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| This work proposes a novel foetal electrocardiogram (FECG) extraction approach based on the cyclostationary properties of the signal of interest. The problem of FECG extraction can easily fit in a blind source separation (BSS) framework; taking into account specific statistical nature of the signal, that one wants to extract, leads to an algorithm able to estimate the FECG contribution to ECG recordings where the maternal ECG is predominant. We show that the proposed procedure provides estimates of the FECGs PQRST complexes without incorporating any prior knowledge concerning PQRST features. Discussions about foetal heart rate variability (HRV) estimation and future works conclude this paper. |
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| 1: | Laboratoire PRISME (PRISME) |
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Université d'Orléans : EA4229 – ENSI Bourges |
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| 2: | Department of Electrical Engineering and Electronics |
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University of Liverpool |
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| Subject | : | Computer Science/Signal and Image Processing Engineering Sciences/Signal and Image processing |
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| Foetal ECG – PQRST – HRV – Blind Source Separation – Cyclostationarity |
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| hal-00653547, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00653547 | |
| oai:hal.archives-ouvertes.fr:hal-00653547 | |
| From: Michel Haritopoulos | |
| Submitted on: Monday, 19 December 2011 16:52:59 | |
| Updated on: Tuesday, 20 December 2011 09:06:23 | |
