• DocumentCode
    2466324
  • Title

    Nonstationary ECG analysis using Wigner-Ville transform and wavelets

  • Author

    Kotsas, P. ; Pappas, C. ; Strintzis, M. ; Maglaveras, N.

  • Author_Institution
    Lab. of Med. Inf., Aristotelian Univ. of Thessaloniki, Greece
  • fYear
    1993
  • fDate
    5-8 Sep 1993
  • Firstpage
    499
  • Lastpage
    502
  • Abstract
    Nonstationary analysis of ECGs (especially the ST segment) was performed using the Wigner-Ville distribution (WVD) and wavelet transforms. The analysis was done on multiple leads of the same subject and on subjects with normal ECG, ischemia, necrosis and infarct. All data came from the CSE multilead database. It was found that the spectrotemporal maps were not considerably different from lead to lead and that substantial changes in spectrotemporal maps concerning the existence of nonstationarities exist among the above-mentioned pathological states. These changes were evident mainly in the QRS complex and the ST segment. Only in the infarcted subject did such changes persist over the whole P-QRS-T complex. The WVD was found superior from the wavelet transform in having better time- and frequency-domain resolution and superior computational performance
  • Keywords
    electrocardiography; medical signal processing; wavelet transforms; CSE multilead database; QRS complex; ST segment; Wigner-Ville distribution; computational performance; frequency-domain resolution; infarction; ischemia; necrosis; nonstationary ECG analysis; pathological states; spectrotemporal maps; time-domain resolution; wavelet transforms; Databases; Electrocardiography; Frequency; Ischemic pain; Pathology; Sampling methods; Signal analysis; Signal resolution; Wavelet analysis; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computers in Cardiology 1993, Proceedings.
  • Conference_Location
    London
  • Print_ISBN
    0-8186-5470-8
  • Type

    conf

  • DOI
    10.1109/CIC.1993.378394
  • Filename
    378394