• DocumentCode
    1833673
  • Title

    Impact of Sampling Rate Reduction on Automatic ECG Delineation

  • Author

    Simon, F. ; Martinez, Juan Pablo ; Laguna, P. ; van Grinsven, B. ; Rutten, C. ; Houben, R.

  • Author_Institution
    Zaragoza Univ. Maria de Luna 1, Zaragoza
  • fYear
    2007
  • fDate
    22-26 Aug. 2007
  • Firstpage
    2587
  • Lastpage
    2590
  • Abstract
    Electrogram (EGM) delineation is an increasingly important task to be performed in implantable cardiac devices such as pacemakers and defibrillators. Reliable detection and of EGM components might help to minimize the risk of false detections. Efforts are therefore undertaken to examine whether existing ECG delineators can be adapted for the delineation of EGMs. One issue to be solved is the low sampling rate at which EGMs are acquired. In this study we investigate performance degradation of an existing wavelet- based ECG delineator by a stepwise reduction of the sampling rate. It is shown that for signals sampled at 1 kHz, no significant performance degradation occurs in P or T wave delineation. The performance of QRS delineation is affected only at the lowest sampling rate of 62.5 Hz. For signals originally sampled at 250 Hz, no degradation in delineation performance is observed. It is concluded that the automatic delineation of ECGs can be performed at sampling rates as low as 62.5 Hz and that the low sampling rate does not significantly degrade the reliability of automatic delineation.
  • Keywords
    defibrillators; electrocardiography; medical signal detection; medical signal processing; pacemakers; signal classification; signal sampling; ECG delineators; P wave delineation; QRS delineation; QRS detection; T wave delineation; automatic ECG delineation; defibrillators; electrogram components classification; implantable cardiac devices; pacemakers; risk-of- false detection minimisation; sampling rate reduction impact; Cardiology; Communications technology; Databases; Degradation; Digital signal processing; Electrocardiography; Pacemakers; Sampling methods; Signal analysis; Surface morphology; Algorithms; Defibrillators, Implantable; Electrocardiography; Humans; Pacemaker, Artificial; 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.2007.4352858
  • Filename
    4352858