Literature DB >> 11953642

Determination of the noise source in the electrocardiogram during cardiopulmonary resuscitation.

Elaine Fitzgibbon1, Ronald Berger, Joshua Tsitlik, Henry R Halperin.   

Abstract

During cardiopulmonary resuscitation (CPR), the electrocardiogram (ECG) is often obscured by noise. This noise is in the form of baseline variations in the ECG, which often necessitate stopping chest compressions to adequately assess the ECG. Because survival from cardiac arrest has been shown to be related to blood flow generated during CPR, and because interruption of chest compressions will reduce blood flow, survival may be compromised by these interruptions. Three possible sources for the noise were considered: the heart, which is deformed during CPR, which may introduce a mechanical-electrical interaction and alter the normal electrical pattern of the heart; the thoracic cavity, which may have large impedance variations because of CPR and thereby modulate the ECG; and the skin-electrode interface, which may be mechanically disturbed during CPR and thus produce polarization potentials that cause additional noise. CPR studies were performed on five dogs by using four different test conditions and six different types of electrodes. The test conditions were: electrode motion, which allowed mechanical disturbances of the skin-electrode interface without altering the thoracic impedance or deforming the heart; vest CPR; manual CPR; and respiration. The myocardial ECG, the bipolar and unipolar surface ECGs, and the thoracic impedance were monitored. Different types of surface ECG electrodes were used to determine whether the noise was dependent on electrode type or size. There were no baseline variations in the myocardial ECG during any of the test conditions. The thoracic impedance did vary during CPR, but the variations were temporally uncorrelated to the baseline variations in the ECG, and the variations were of similar magnitude as the variations caused by respiration, which produced no baseline changes in the ECG. Finally, the magnitude of the baseline variations in the ECG was substantially different for electrodes of different sizes and shapes, and electrode motion produced baseline variations that were identical to those produced during CPR. Therefore, it was concluded that the source of the noise in the ECG during CPR is the skin-electrode interface and, specifically, that the noise is related to the electrical properties of the electrode.

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Year:  2002        PMID: 11953642     DOI: 10.1097/00003246-200204001-00006

Source DB:  PubMed          Journal:  Crit Care Med        ISSN: 0090-3493            Impact factor:   7.598


  5 in total

1.  Ventricular Fibrillation Waveform Analysis During Chest Compressions to Predict Survival From Cardiac Arrest.

Authors:  Jason Coult; Jennifer Blackwood; Lawrence Sherman; Thomas D Rea; Peter J Kudenchuk; Heemun Kwok
Journal:  Circ Arrhythm Electrophysiol       Date:  2019-01

2.  Removal of cardiopulmonary resuscitation artifacts with an enhanced adaptive filtering method: an experimental trial.

Authors:  Yushun Gong; Tao Yu; Bihua Chen; Mi He; Yongqin Li
Journal:  Biomed Res Int       Date:  2014-03-27       Impact factor: 3.411

3.  Estimating the amplitude spectrum area of ventricular fibrillation during cardiopulmonary resuscitation using only ECG waveform.

Authors:  Feng Zuo; Youde Ding; Chenxi Dai; Liang Wei; Yushun Gong; Juan Wang; Yiming Shen; Yongqin Li
Journal:  Ann Transl Med       Date:  2021-04

4.  Development of the probability of return of spontaneous circulation in intervals without chest compressions during out-of-hospital cardiac arrest: an observational study.

Authors:  Kenneth Gundersen; Jan Terje Kvaløy; Jo Kramer-Johansen; Petter Andreas Steen; Trygve Eftestøl
Journal:  BMC Med       Date:  2009-02-06       Impact factor: 8.775

Review 5.  Rhythm analysis during cardiopulmonary resuscitation: past, present, and future.

Authors:  Sofia Ruiz de Gauna; Unai Irusta; Jesus Ruiz; Unai Ayala; Elisabete Aramendi; Trygve Eftestøl
Journal:  Biomed Res Int       Date:  2014-01-09       Impact factor: 3.411

  5 in total

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