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
Link To Document :
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