• DocumentCode
    2585974
  • Title

    ECG monitoring. A software tool for deriving time and frequency parameters

  • Author

    Stanciu, Marcel ; Albu, Mihaela ; Boev, Anatolie

  • Author_Institution
    Univ. Politeh. of Bucharest (UPB), Bucharest, Romania
  • fYear
    2009
  • fDate
    29-30 May 2009
  • Firstpage
    116
  • Lastpage
    121
  • Abstract
    In this paper is presented a software application which performs dynamic analysis of ECG tachogram using time framing (data windows) and appropriate sliding steps, as chosen by investigator. The application provides a high degree of versatility and the paper presents the algorithms, some experimental results and their significance.
  • Keywords
    electrocardiography; frequency-domain analysis; medical diagnostic computing; neurophysiology; patient monitoring; software tools; time-domain analysis; ECG monitoring; ECG tachogram; autonomic nervous system; dynamic analysis; software tool; time framing; versatility; Application software; Electrocardiography; Frequency domain analysis; Hafnium; Heart rate variability; Monitoring; Neural networks; Performance analysis; Signal analysis; Software tools; ECG tachogram; dynamic analysis; heart rate variability; time and frequency domain analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Medical Measurements and Applications, 2009. MeMeA 2009. IEEE International Workshop on
  • Conference_Location
    Cetraro
  • Print_ISBN
    978-1-4244-3598-2
  • Electronic_ISBN
    978-1-4244-3599-9
  • Type

    conf

  • DOI
    10.1109/MEMEA.2009.5167967
  • Filename
    5167967