• DocumentCode
    674075
  • Title

    A new algorithm to diagnose during chest compressions: Effect on cardiopulmonary resuscitation delivery

  • Author

    Ayala, Unai ; Irusta, Unai ; Ruiz, Juan-Carlos ; Gonzalez-Otero, Digna ; Alonso, E. ; Kramer-Johansen, Jo ; Eftestol, T.

  • Author_Institution
    Univ. of the Basque Country (UPV/EHU), Bilbao, Spain
  • fYear
    2013
  • fDate
    22-25 Sept. 2013
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    Rhythm analysis methods for shock advice during CPR are evaluated in terms of sensitivity and specificity. However, these figures do not convey the real impact that using these methods would have on the delivery of CPR. This study evaluates the impact on CPR delivery of a new rhythm analysis method. First, the original method was modified to increase the reliability of a shock diagnosis by the addition of high and low confidence diagnoses and the combination of several diagnoses before deciding a shock. Compared to the current CPR guidelines, the modified rhythm analysis method showed a 94.4% probability of delivering the shock earlier to patients in shockable rhythms and a 94.1% probability of reducing CPR interruptions for rhythm reassessment in nonshockable rhythms. Although the results are promising further testing is needed on complete resuscitation episodes.
  • Keywords
    bioelectric potentials; cardiovascular system; electrocardiography; probability; CPR guidelines; cardiopulmonary resuscitation delivery; chest compression diagnosis; nonshockable rhythms; probability; resuscitation episodes; rhythm analysis methods; shock diagnosis; Cardiac arrest; Databases; Electric shock; Electrocardiography; Guidelines; Reliability; Rhythm;
  • 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
    6712428