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Fetal electrocardiogram R-peak detection using robust tensor decomposition and extended Kalman filtering

Akhbari, M ; Sharif University of Technology | 2013

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  1. Type of Document: Article
  2. Publisher: 2013
  3. Abstract:
  4. In this paper, we propose an efficient method for R-peak detection in noninvasive fetal electrocardiogram (ECG) signals which are acquired from multiple electrodes on mother's abdomen. The proposed method is performed in two steps: first, we employ a robust tensor decomposition-based method for fetal ECG extraction, assuming different heart rates for mother and fetal ECG; then a method based on extended Kalman filter (EKF) in which the ECG beat is modeled by 3 state equations (P, QRS and T), is used for fetal R-peak detection. The results show that the proposed method is efficiently able to estimate the location of R-peaks of fetal ECG signals. The obtained average scores of event 4 and 5 on the set B of 'Physionet Challenge 2013' data are 1326.21 and 45.06, respectively, which are better than the average score for 'sample submission physionet2013.m' (available at PhysioNet) on set B which were 3258.56 and 102.75
  5. Keywords:
  6. Kalman filters ; Biomedical electrodes ; Electrocardiography ; Medical signal processing ; Ostetrics
  7. Source: Computing in Cardiology ; Volume 40 , 2013 , Pages 189-192 ; 23258861 (ISSN) ; 9781479908844 (ISBN)
  8. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6712443&url=http%3A%2F%2Fieeexplore.ieee.org%2Fiel7%2F6695807%2F6712387%2F06712443.pdf%3Farnumber%3D6712443