145 / 2019-02-27 20:49:25
A new simple ECG signal model
synthetic ECG, ECG signal processing, ECG model, differential evolution, LabVIEW
全文待审
Jan Saliga / Technical university of Kosice
Pavol Dolinsky / Technical university of Kosice
Imrich Andras / Technical university of Kosice
Linus Michaeli / Technical university of Kosice
A new mathematical model for generating ECG signal is presented in this paper. The generation is based on geometrical properties of real ECG signals instead of various artificial function used in commonly applicated models. Variation of parameters allows arbitrary setting of particular waves of PQRST complex. This way arbitrary PQRST signals typical for various heart diseases can be modelled and generated with high fidelity. Moreover, parameter variation allows generate different waveform for each subsequent heartbeat without mixing PQRST waves order. The elementary trigonometric function and Gaussian monopulse have been used for modelling each particular wave. Adding a noise and/or respiratory signal the final synthetized artificial signal can be apply for various signal processing method testing. The model was tested by comparison of synthetized patterns against patterns generated by LabVIEW Biomedical Toolkit, while the parameters of the model are found using differential evolution algorithm. Professor. The full paper will contain some new improvements of the proposed model and its comparison with real ECG from patients’ database.
重要日期
  • 会议日期

    09月17日

    2019

    09月19日

    2019

  • 03月17日 2019

    初稿截稿日期

  • 04月30日 2019

    初稿录用通知日期

  • 05月31日 2019

    终稿截稿日期

  • 09月19日 2019

    注册截止日期

联系方式
历届会议
移动端
在手机上打开
小程序
打开微信小程序
客服
扫码或点此咨询