• DocumentCode
    674505
  • Title

    Detection of P wave in electrocardiogram

  • Author

    Gonzalez-Fernandez, Rene ; Rivero-Varona, Martha ; Montes de Oca-Colina, Gisela

  • Author_Institution
    Central Inst. of Digital Res., Havana, Cuba
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    515
  • Lastpage
    518
  • Abstract
    The aim of this paper is to discuss a new algorithm to detect P wave in the resting electrocardiogram (ECG). The independent ECG leads were acquired simultaneously; the sampling rate was 500 Hz. A moving average bandpass filter and a notch filter were applied to the ECG. All the QRS-T complexes were detected and removed from de original signal. A new lead was constructed as the sum of the independent lead, sample by sample. The Teager Energy Operator was applied to the new constructed lead to get an auxiliary function where high energy zones were emphasized. A threshold was computed, based on the maximum value of the auxiliary function, to identify atrial activity. When this activity was detected, the onset and offset of the atrial wave were identified in the original leads using slope criterion. The proposed algorithm was tested with 300 ECGs from adults patients; the sensitivity for P wave detection reached 96,47 %; false positive were not produce.
  • Keywords
    band-pass filters; electrocardiography; medical signal detection; moving average processes; notch filters; signal sampling; ECG sensitivity; P wave detection; QRS-T complex detection; QRS-T complex removal; Teager Energy Operator; atrial activity; atrial wave offset; atrial wave onset; auxiliary function; false positive data; frequency 500 Hz; high energy zones; independent ECG leads; independent lead sum; moving average bandpass filter; notch filter; original leads; original signal; resting electrocardiogram; sample by sample; sampling rate; slope criterion; Abstracts; Electrocardiography; Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology Conference (CinC), 2013
  • Conference_Location
    Zaragoza
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4799-0884-4
  • Type

    conf

  • Filename
    6713427