• DocumentCode
    1833655
  • Title

    T-wave Vector Alternans Detection based on Holter ECG Recordings

  • Author

    Satoh, T. ; Yana, K. ; Shichiku, H. ; Mizuta, H. ; Ono, T.

  • Author_Institution
    Hosei Univ., Tokyo
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    2583
  • Lastpage
    2586
  • Abstract
    This paper proposes a new method for detecting T- wave alternans (TWA) based on 3-channel Holter ECG recordings. The current standard method, based on spectral analysis of each signal lead, enables low amplitude alternans detection at the microvolt level. However, the method requires a controlled test environment where the mean heart rate is artificially increased. T Proposed method aims at realizing the reliable alternans detection from 24 hour Holter recordings during normal daily activities. To achieve this, the method utilizes singular value decomposition (SVD) for highly sensitive differentiation of T-wave morphology in noisy recording conditions. We propose the name T-wave Vector Alternance (TWVA) for TWA detected by SVD in decomposed ECG signals. The method was applied to three normal subjects and two subjects with TWA and it correctly detected the TWA.
  • Keywords
    acoustic noise; electrocardiography; 3-channel Holter ECG recordings; T-wave vector alternans detection; mean heart rate; microvolt level; noisy recording; singular value decomposition; Biomedical informatics; Cardiology; Electrocardiography; Heart rate; Medical signal detection; Sampling methods; Singular value decomposition; Smoothing methods; Spectral analysis; Spline; Automatic detection; ECG signal analysis; Holter ECG; Singular value decomposition; T-wave Alternans; Electrocardiography, Ambulatory; Heart; Heart Rate; Humans; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
  • Conference_Location
    Lyon
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-0787-3
  • Type

    conf

  • DOI
    10.1109/IEMBS.2007.4352857
  • Filename
    4352857