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Fetal ECG extraction using πtucker decomposition

Akbari, H ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/IWSSIP.2015.7314205
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. 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
  6. Keywords:
  7. Tensor Decomposition ; Blind source separation ; Electrocardiography ; Extraction ; Signal interference ; Signal to noise ratio ; Spurious signal noise ; Tensors ; FECG ; Fetal ecg extractions ; Multichannel ECG ; Objective functions ; Signal to interference plus noise ratio ; State-of-the-art methods ; Tensor decomposition ; Tucker decompositions ; Image processing
  8. Source: 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)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7314205