• DocumentCode
    504443
  • Title

    Discrete mathematical model for ecg waveform using kernel function

  • Author

    Desyoo, Phayung ; Praesomboon, Sukanya ; Sangpetch, Wanida ; Suracherdkiati, Wichai

  • Author_Institution
    Fac. of Appl. Sci., King Mongkut´´s Univ. of Technol. North Bangkok, Bangkok, Thailand
  • fYear
    2009
  • fDate
    18-21 Aug. 2009
  • Firstpage
    5296
  • Lastpage
    5300
  • Abstract
    This paper proposed a new design of the mathematical model for ECG waveform using kernel function. The continued standard ECG signal will be converted to the discrete time signal or original ECG data. After that the original ECG data will be changed to the kernel ECG data by kernel function. Then the kernel ECG data will be converted to the polynomial equations or mathematical model using discrete least square technique. At the time this will be the complete mathematical model of ECG equations and will be used to implement the ECG simulator with high resolution and low memory storage. For the accuracy of the ECG signals that are implemented by mathematical models with ECG simulations is presented in a PRD (percent root mean square difference).
  • Keywords
    electrocardiography; least squares approximations; medical signal processing; ECG simulator; ECG waveform; discrete least square technique; discrete mathematical model; discrete time signal; kernel function; original ECG data; percent root mean square difference; polynomial equations; Electrocardiography; Equations; Heart; Kernel; Least squares methods; Mathematical model; Medical simulation; Polynomials; Signal design; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICCAS-SICE, 2009
  • Conference_Location
    Fukuoka
  • Print_ISBN
    978-4-907764-34-0
  • Electronic_ISBN
    978-4-907764-33-3
  • Type

    conf

  • Filename
    5333355