• DocumentCode
    2109502
  • Title

    Morphological analysis of T-wave in vectorcardiographic leads system by a bi-Gaussian approach in patients under effect of salbutamol

  • Author

    Perdomo, O.J. ; Robinson, E.J. ; Suzuki, D.O.H. ; Heller, S.R. ; Marques, J.L.B.

  • Author_Institution
    Inst. of Biomed. Eng., Fed. Univ. of Santa Catarina, Florianópolis, Brazil
  • fYear
    2012
  • fDate
    Aug. 28 2012-Sept. 1 2012
  • Firstpage
    5494
  • Lastpage
    5497
  • Abstract
    There are several models of decomposition of the electrocardiogram (ECG). Some of these models are intended to describe the ECG signal, and others are more specific to extract the relevant information relating to individual waveform which contributes to explain the P-QRS complex. The latter approach may be particularly suitable for a portion where a morphological analysis of the ECG is of particular interest, as the cardiac repolarization segment or T-wave. This study aims: to model and detect useful patterns in the evaluation of T wave morphology, which explains the different changes in ventricular repolarization during inhalation of Salbutamol.
  • Keywords
    Gaussian processes; cellular biophysics; drugs; electrocardiography; medical signal processing; Bi-Gaussian approach; ECG signal; PQRS complex; T wave morphology evaluation; cardiac repolarization segmentation; decomposition models; electrocardiogram; individual waveform; morphological analysis; pattern detection; salbutamol effect; salbutamol inhalation; vectorcardiographic leads system; ventricular repolarization; Diabetes; Drugs; Electrocardiography; Equations; Mathematical model; Morphology; Principal component analysis; Adrenergic beta-Antagonists; Albuterol; Electrocardiography; Humans; Models, Theoretical; Peripheral Nervous System Diseases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4119-8
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2012.6347238
  • Filename
    6347238