Real-Time Amplitude Spectral Area Analysis for the Optimization of Resuscitation in a Swine Model

Persistent Link:
http://hdl.handle.net/10150/293643
Title:
Real-Time Amplitude Spectral Area Analysis for the Optimization of Resuscitation in a Swine Model
Author:
McGovern, Meghan
Issue Date:
2013
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The purpose of this study was to investigate a resuscitation algorithm that calculates the value of AMSA in real-time to direct the duration of post-shock chest compressions. We hypothesized that such an algorithm would shorten the time to achieve ROSC in swine. Swine were randomized into normal or infarcted myocardia and waveform guided or traditional resuscitation algorithm groups. VF was induced electrically and left untreated for 10minutes. Resuscitation was commenced with 1minute of compressions, resumption of mechanical ventilation, shock and epinephrine. In the traditional group, all shocks were followed by 2minutes of post-shock compressions. In the waveform guided group, AMSA was measured prior to shocks. If AMSA>20mV-Hz, post shock compression duration was shortened to 1minute.This study found that the waveform guided resuscitation algorithm to direct the duration of post-shock chest compressions had no significant effect on time to ROSC or AMSA values when compared to the traditional resuscitation algorithm.
Type:
text; Electronic Thesis
Keywords:
Cardiac Arrest; CPR; ROSC; Biomedical Engineering; AMSA
Degree Name:
M.S.
Degree Level:
masters
Degree Program:
Graduate College; Biomedical Engineering
Degree Grantor:
University of Arizona
Advisor:
Indik, Julia H.

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleReal-Time Amplitude Spectral Area Analysis for the Optimization of Resuscitation in a Swine Modelen_US
dc.creatorMcGovern, Meghanen_US
dc.contributor.authorMcGovern, Meghanen_US
dc.date.issued2013en
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe purpose of this study was to investigate a resuscitation algorithm that calculates the value of AMSA in real-time to direct the duration of post-shock chest compressions. We hypothesized that such an algorithm would shorten the time to achieve ROSC in swine. Swine were randomized into normal or infarcted myocardia and waveform guided or traditional resuscitation algorithm groups. VF was induced electrically and left untreated for 10minutes. Resuscitation was commenced with 1minute of compressions, resumption of mechanical ventilation, shock and epinephrine. In the traditional group, all shocks were followed by 2minutes of post-shock compressions. In the waveform guided group, AMSA was measured prior to shocks. If AMSA>20mV-Hz, post shock compression duration was shortened to 1minute.This study found that the waveform guided resuscitation algorithm to direct the duration of post-shock chest compressions had no significant effect on time to ROSC or AMSA values when compared to the traditional resuscitation algorithm.en_US
dc.typetexten_US
dc.typeElectronic Thesisen_US
dc.subjectCardiac Arresten_US
dc.subjectCPRen_US
dc.subjectROSCen_US
dc.subjectBiomedical Engineeringen_US
dc.subjectAMSAen_US
thesis.degree.nameM.S.en_US
thesis.degree.levelmastersen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.disciplineBiomedical Engineeringen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.advisorIndik, Julia H.en_US
dc.contributor.committeememberUtzinger, Ursen_US
dc.contributor.committeememberRomanowski, Mareken_US
dc.contributor.committeememberHilwig, Ronen_US
All Items in UA Campus Repository are protected by copyright, with all rights reserved, unless otherwise indicated.