ECG denoising and compression using a modified extended Kalman filter structure

IEEE Transactions on Bio-medical Engineering
Omid Sayadi, M B Shamsollahi

Abstract

This paper presents efficient denoising and lossy compression schemes for electrocardiogram (ECG) signals based on a modified extended Kalman filter (EKF) structure. We have used a previously introduced two-dimensional EKF structure and modified its governing equations to be extended to a 17-dimensional case. The new EKF structure is used not only for denoising, but also for compression, since it provides estimation for each of the new 15 model parameters. Using these specific parameters, the signal is reconstructed with regard to the dynamical equations of the model. The performances of the proposed method are evaluated using standard denoising and compression efficiency measures. For denosing, the SNR improvement criterion is used, while for compression, we have considered the compression ratio (CR), the percentage area difference (PAD), and the weighted diagnostic distortion (WDD) measure. Several Massachusetts Institute of Technology-Beth Israel Deaconess Medical Center (MIT-BIH) ECG databases are used for performance evaluation. Simulation results illustrate that both applications can contribute to and enhance the clinical ECG data denoising and compression performance. For denoising, an average SNR improvement of 10.16 dB...Continue Reading

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Citations

May 15, 2013·Computers in Biology and Medicine·Samit AriAnil Chacko
Aug 20, 2010·Physiological Measurement·Omid SayadiGari D Clifford
Jun 3, 2014·BMC Medical Informatics and Decision Making·Jerome FoussierSteffen Leonhardt
Jan 18, 2016·Computer Methods and Programs in Biomedicine·Eduardo José da S LuzDavid Menotti
Jul 24, 2014·IEEE Journal of Biomedical and Health Informatics·Omid Sayadi, Mohammad Bagher Shamsollahi
Sep 18, 2009·IEEE Transactions on Bio-medical Engineering·Omid SayadiGari D Clifford
May 21, 2010·IEEE Transactions on Bio-medical Engineering·Julien OsterJacques Felblinger
Sep 17, 2013·Computers in Biology and Medicine·Ebadollah Kheirati Roonizi, Reza Sameni
Jun 23, 2016·IEEE Journal of Biomedical and Health Informatics·Hamed Danandeh Hesar, Maryam Mohebbi
Apr 26, 2017·Sensors·Aifeng RenHaider Abbas
Feb 9, 2017·Physiological Measurement·A MahdiS J Payne
May 26, 2017·IEEE Journal of Biomedical and Health Informatics·Hamed Danandeh Hesar, Maryam Mohebbi
Sep 19, 2017·IEEE Journal of Biomedical and Health Informatics·Shweta JainAnil Kumar
Feb 27, 2009·Physiological Measurement·O Sayadi, M B Shamsollahi
Apr 13, 2019·Sensors·Zhongyi JinYinglong Wang
Aug 4, 2015·Physiological Measurement·Nasim Montazeri GhahjaverestanAlfredo I Hernández
Apr 25, 2018·Australasian Physical & Engineering Sciences in Medicine·Atul Kumar VermaBarjinder Singh Saini

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