• DocumentCode
    1568281
  • Title

    P wave demarcation in electrocardiogram

  • Author

    Elgendi, Mohamed ; Jonkman, Mirjam ; De Boer, Friso

  • Author_Institution
    Sch. of Eng. & Inf. Technol., Charles Darwin Univ., Darwin, NT
  • fYear
    2009
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    Efficient and effective feature extraction algorithms are required in the analysis of long records electrocardiographic (ECG) signals. In this paper a computationally efficient method is proposed as a feature extractor for P waves in ECG signals. The performance of the proposed algorithm was tested on 29 records of the MIT/BIH Arrhythmia Database resulting in 0.72% incorrectly detected P waves.
  • Keywords
    biology computing; diseases; electrocardiography; feature extraction; medical signal processing; ECG signals; MIT-BIH arrhythmia database; computationally efficient method; electrocardiogram; feature extraction algorithms; p-wave demarcation; Databases; Detection algorithms; Electrocardiography; Feature extraction; Frequency; Heart rate variability; Information technology; Morphology; Sampling methods; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, 2009 IEEE 35th Annual Northeast
  • Conference_Location
    Boston, MA
  • Print_ISBN
    978-1-4244-4362-8
  • Electronic_ISBN
    978-1-4244-4364-2
  • Type

    conf

  • DOI
    10.1109/NEBC.2009.4967755
  • Filename
    4967755
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1568281