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    Multichannel ECG and noise modeling: Application to maternal and fetal ECG signals

    , Article Eurasip Journal on Advances in Signal Processing ; Volume 2007 , 2007 ; 11108657 (ISSN) Sameni, R ; Clifford, G. D ; Jutten, C ; Shamsollahi, M. B ; Sharif University of Technology
    2007
    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... 

    Fetal ECG extraction using πtucker decomposition

    , Article 2015 22nd International Conference on Systems, Signals and Image Processing - Proceedings of IWSSIP 2015, 10 September 2015 through 12 September 2015 ; 2015 , Pages 174-178 ; 9781467383530 (ISBN) Akbari, H ; Shamsollahi, M. B ; Phlypo, R ; Miah S ; Uus A ; Liatsis P ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    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...