• DocumentCode
    591155
  • Title

    Automatic detection of chest compression pauses using the transthoracic impedance signal

  • Author

    Gonzalez-Otero, Digna ; de Gauna, S.R. ; Ruiz, Juan-Carlos ; Ayala, Unai ; Alonso, E.

  • Author_Institution
    Univ. of the Basque Country UPV/EHU, Bilbao, Spain
  • fYear
    2012
  • fDate
    9-12 Sept. 2012
  • Firstpage
    21
  • Lastpage
    24
  • Abstract
    The recommended treatment for out-of-hospital cardiac arrest (OHCA) is immediate cardiopulmonary resuscitation (CPR) and early electrical defibrillation. During CPR, chest compressions and ventilations should be provided with a compression-ventilation ratio of 30:2. Chest compressions and ventilations induce fast and slow fluctuations, respectively, on the transthoracic impedance (TTI). In this work we present a method for the automatic detection of pauses in chest compression using the TTI. The fuctuations induced by chest compressions were first isolated and emphasized and then, using an adaptive threshold, the intervals without chest compressions were identified. The method was adjusted and evaluated using a dataset of 3596 pauses corresponding to OHCA episodes. The mean duration of the pauses was 7.0 ± 6.2 s. For the test set, the sensitivity and the positive predictive value were 93.9% and 96.2%, respectively. This method could be used for both online and offine CPR quality evaluation or to detect artifact free ECG intervals in which a rhythm assesment could be launched.
  • Keywords
    electrocardiography; medical signal detection; medical signal processing; patient treatment; ventilation; CPR quality evaluation; OHCA; TTI; adaptive threshold; artifact free ECG interval detection; automatic detection; cardiopulmonary resuscitation; chest compression pauses; chest ventilations; early electrical defibrillation; out-of-hospital cardiac arrest treatment; rhythm assesment; transthoracic impedance signal; Cardiac arrest; Electrocardiography; Guidelines; Impedance; Rhythm; Training; Ventilation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing in Cardiology (CinC), 2012
  • Conference_Location
    Krakow
  • ISSN
    2325-8861
  • Print_ISBN
    978-1-4673-2076-4
  • Type

    conf

  • Filename
    6420320