Fetal ECG Extraction using piTucker Decomposition

Hassan Akbari 1, * Mohammad Shamsollahi 1 Ronald Phlypo 2
* Auteur correspondant
1 BiSIPL - Biomedical Signal and Image Processing Laboratory [Teheran]
2 GIPSA-VIBS - VIBS
GIPSA-DIS - Département Images et Signal
Abstract : In this paper, we introduce a novel approach based on Tucker Decomposition and quasi-periodic nature of ECG signal for fetal ECG extraction from abdominal ECG mixture. We adapt variable periodicity constraint of the ECG components to main objective function of the Tucker Decomposition and shape it to matrix form in order to simply optimize the objective function. We form a 3rd order tensor by stacking the mixed multichannel ECG and reconstructed fetal and maternal subspaces using BSS methods in order to have the benefit of further artificial observations, and apply our proposed penalized decomposition on it. The proposed method is evaluated on synthetic and real datasets using the criteria Signal to Interference plus Noise Ratio (SINR) for fetal component considering mother component as interference. Results and evaluations show a superior SINR improvement of 1 to 4 dB compared to other state of the art methods.
Keywords : Tucker Decomposition fetal ECG extraction Blind Source Separation Tensor Decomposition fECG
Type de document :
Communication dans un congrès
22nd International Conference on Systems, Signals and Image Processing (IWSSIP 2015), Sep 2015, Londres, United Kingdom. IEEE, 22nd International Conference on Systems, Signals and Image Processing
Liste complète des métadonnées
http://hal.univ-grenoble-alpes.fr/hal-01211202
Contributeur : Ronald Phlypo <>
Soumis le : samedi 3 octobre 2015 - 22:09:26
Dernière modification le : mardi 23 octobre 2018 - 14:34:04

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  • HAL Id : hal-01211202, version 1

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UGA | GIPSA-VIBS | GIPSA | GIPSA-DIS

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Hassan Akbari, Mohammad Shamsollahi, Ronald Phlypo. Fetal ECG Extraction using piTucker Decomposition. 22nd International Conference on Systems, Signals and Image Processing (IWSSIP 2015), Sep 2015, Londres, United Kingdom. IEEE, 22nd International Conference on Systems, Signals and Image Processing. 〈hal-01211202〉

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