• DocumentCode
    2150424
  • Title

    T wave detection by correlation method in the ECG signal

  • Author

    Noohi, Mahsa ; Sadr, Ali

  • Author_Institution
    EE Dept., Iran Univ. of Sci. & Technol., Tehran, Iran
  • Volume
    5
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    550
  • Lastpage
    552
  • Abstract
    The ECG signal, among all vital signals, has attracted more attention due to its importance in diagnosing health conditions. In recent years T wave alternans (TWA) has been used to predict Sudden Cardiac death (SCD). TWA is the beat-to-beat alterations in the T wave amplitude. A new method is proposed in this article to detect These Waves more precisely and quickly the algorithm can also be implemented with minimum errors for high noise signals. The database used in this article is MIT-BIH which is provided at Physionet website. This solution is performed on more than 20 Cases of this database.
  • Keywords
    correlation methods; electrocardiography; patient diagnosis; signal detection; ECG signal; MIT-BIH database; T wave detection; correlation method; electrocardiography; health diagnosis; sudden cardiac death; Adaptive signal detection; Correlation; Databases; Electric potential; Electrocardiography; Filters; Heart; Muscles; Sampling methods; Working environment noise; Correlation method; ECG Signal; T wave; T wave sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451278
  • Filename
    5451278