• DocumentCode
    2085090
  • Title

    The Discovery of High Frequency Ventricular Repolarization Waves

  • Author

    Sheng, Yang ; Dihu, Chen ; Bin, Zhang ; Xiaofeng, Li

  • Author_Institution
    Sci. & Technol. Univ. of China., Hefei
  • fYear
    2007
  • fDate
    23-27 May 2007
  • Firstpage
    393
  • Lastpage
    397
  • Abstract
    Microvariation in ventricular repolarization is an important factor for the risk prediction of sudden cardiac death (SCD). It is of high academic value and has good clinical application prospect to carry on deep research on such microvariation. In order to get the bioelectrical characteristics of microvariation in ventricular repolarization, we used a wavelet domain Wiener filtering method to analyze the electrocardiogram (ECG), and unexpectedly discovered high frequency ventricular repolarization waves (HFVRWs), a series of microvolt high frequency waves during ventricular repolarization. In an unshielded condition, we have completed the HFVRWs detection of 50 cases, 12 healthy volunteers and 38 patients with heart diseases. In all 50 cases, the HFVRWs detection rate is 100%. From the work in this paper, we can draw the following conclusions. First, the HFVRWs is a new electrophysiological phenomenon, from which we can get more information about ventricular repolarization. Secondly, the body surface beat-to-beat HFVRWs detecting system proposed in this paper can offer advantages of being noninvasive and convenient. The recorded waveform is of high resolution that can perfectly satisfy the clinical requirements.
  • Keywords
    Wiener filters; bioelectric phenomena; electrocardiography; Wiener filtering; bioelectricity; electrocardiography; risk prediction; sudden cardiac death; ventricular repolarization waves; Bioelectric phenomena; Electrocardiography; Electromyography; Frequency; Instruments; Interference; Noise level; Wavelet analysis; Wavelet domain; Wiener filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1077-4
  • Electronic_ISBN
    978-1-4244-1078-1
  • Type

    conf

  • DOI
    10.1109/ICCME.2007.4381763
  • Filename
    4381763