ECG denoising using parameters of ECG dynamical model as the states of an extended kalman filter

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 2548-2551

  Sayadi, Omid ^a,b   Sameni, Reza ^a,b   Shamsollahi, Mohammad B ^a,b  

^a IEEE

^b SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

ECG dynamical model; Extended kalman alter; Hidden state variable

Indexed keywords

ALGORITHMS; EXTENDED KALMAN FILTERS; MATHEMATICAL MODELS; NONLINEAR ANALYSIS; SIGNAL TO NOISE RATIO;

ECG DENOISING; HIDDEN STATE VARIABLE;

ELECTROCARDIOGRAPHY;

ALGORITHM; ARTICLE; BIOLOGICAL MODEL; COMPUTER PROGRAM; ELECTROCARDIOGRAPHY; METHODOLOGY; SIGNAL PROCESSING;

ALGORITHMS; ELECTROCARDIOGRAPHY; MODELS, BIOLOGICAL; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOFTWARE;

EID: 57649236021     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4352848     Document Type: Conference Paper

References (8)

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8. O. Sayadi, and M. B. Shamsollahi, "Multiadaptive Bionic Wavelet Transform: Application to ECG Denoising and Baseline Wandering Reduction," EURASIP Journal on Advances in Signal Processing, vol. 2007, pp. Article ID 41274, 11 pages, 2007, doi:10.1155/2007/41274.