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Model-based ECG fiducial points extraction using a modified extended Kalman filter structure

Sayadi, O ; Sharif University of Technology | 2008

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  1. Type of Document: Article
  2. DOI: 10.1109/ISABEL.2008.4712571
  3. Publisher: 2008
  4. Abstract:
  5. This paper presents an efficient algorithm based on a nonlinear dynamical model for the precise extraction of the characteristic points of electrocardiogram (ECG), which facilitates the HRV analysis. Determining the precise position of the waveforms of an ECG signal is complicated due to the varying amplitudes of its waveforms, the ambiguous and changing form of the complex and morphological variations with unknown sources of drift. A model-based approach handles these complications; therefore a method based on the usage of this concept in an extended Kalman filter structure has been developed. The fiducial points are detected using both the parameters of Gaussian-functions of the model, and the state variable estimates. Several MIT-BIH ECG records are used for performance evaluation. Results show that the proposed method has an average sensitivity of 100% and a specificity of 99.93%. Simulation results illustrate that the method can contribute to and enhance the clinical ECG points extractions performance and exact tachogram representation
  6. Keywords:
  7. Characteristic point ; ECG dynamical model ; ECG signals ; Efficient algorithm ; Electrocardiogram ; Fiducial points ; Gaussian ; HRV ; Model based approach ; Model-based ; Morphological variation ; Nonlinear dynamical models ; Performance evaluation ; Precise position ; Simulation result ; State variables ; Wave forms ; Algorithms ; Cellular radio systems ; Control theory ; Electrocardiography ; Extended Kalman filters ; Heart valve prostheses ; Position control ; Electrochromic devices
  8. Source: 2008 1st International Symposium on Applied Sciences in Biomedical and Communication Technologies, ISABEL 2008, Aalborg, 25 October 2008 through 28 October 2008 ; December , 2008 ; 9781424426478 (ISBN)
  9. URL: https://ieeexplore.ieee.org/document/4712571