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
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