Loading…

Abstract 12827: Detection of Spontaneous Pulse Using Acceleration Signals Acquired From CPR Feedback Sensor in Porcine Model of Cardiac Arrest

BackgroundReliable detection of return of spontaneous circulation (ROSC) without long interruptions of chest compressions is part of high-quality cardiopulmonary resuscitation (CPR) and routinely done by checking pulsation of carotid or femoral arteries. The purpose of the current study was to inves...

Full description

Saved in:
Bibliographic Details
Published in:Circulation (New York, N.Y.) N.Y.), 2016-11, Vol.134 (Suppl_1 Suppl 1), p.A12827-A12827
Main Authors: Wei, Liang, Yu, Tao, Gao, Peng, Quan, Weilun, Li, Yongqin
Format: Article
Language:English
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:BackgroundReliable detection of return of spontaneous circulation (ROSC) without long interruptions of chest compressions is part of high-quality cardiopulmonary resuscitation (CPR) and routinely done by checking pulsation of carotid or femoral arteries. The purpose of the current study was to investigate whether acceleration signals acquired from a CPR feedback sensor can be used to distinguish perfusing rhythm from pulseless electrical activity (PEA) in a porcine model of cardiac arrest.MethodsThe experimental data were collected from 50 male adult pigs with prolonged cardiac arrest and CPR. ECG, arterial blood pressure and acceleration signals were synchronously recorded at a sample rate of 300 Hz. The acceleration signal (ACC) was acquired from an accelerometer-based CPR sensor that was placed on the surface of the animal’s chest over the heart. During chest compression pauses 3-second segments of signals were extracted. ROSC was defined as systolic arterial pressure (SAP) >60 mmHg and pulse pressure (PP) >10 mmHg in the presence of an organized rhythm. ACC was pre-processed using a narrow band-pass filter with the center frequency from 0.5 to 7.5Hz. Cross-correlation function was calculated between ECG and filtered ACC to obtain the peak correlation coefficient (CCp). Area under the receiver operating characteristic curve (AUC) was used to evaluate the ability of CCp to detect ROSC.ResultsA total of 216 segments were obtained with 63 in perfusing rhythm and 153 in PEA. The filtered ACC tracings (ACC’) in perfusing rhythm showed periodic oscillations synchronized with R waves, but no periodic oscillations were observed for PEA. Compared with PEA, heart rate (159.0±50.7 vs. 86.0±44.9 bpm, p
ISSN:0009-7322
1524-4539
DOI:10.1161/circ.134.suppl_1.12827