Literature DB >> 15002486

Angular velocity: a new method to improve prediction of ventricular fibrillation duration.

Lawrence D Sherman1, Aron Flagg, Clifton W Callaway, James J Menegazzi, Margaret Hsieh.   

Abstract

Ventricular fibrillation (VF) is a leading cause of sudden death. Electrical defibrillation is the primary modality of treatment, but evidence is accumulating that its use in the late stage of VF prior to providing ventilation, chest compressions and the administration of appropriate medication is detrimental. In VF of <5 min duration a 'shock first' strategy is effective. In VF of 5> min duration a 'perfuse first' approach is more effective. Because of the difficulty in determining the duration of VF in the clinical setting we have sought to develop method which analyze 5 s intervals of VF waveform and quickly provide an estimate of duration. Such methods would be useful in directing clinical interventions. Using methods of nonlinear dynamics and fractal geometry we have previously derived a quantitative measure of VF duration, namely the scaling exponent (ScE). In this study we report on a novel method also based on nonlinear dynamics, the angular velocity (AV). By constructing a flat, circular disk-shaped structure in a three-dimensional phase space and measuring the velocity of rotation of the position vector over time, a statistic is developed which rises from 58 rad/s at 1 min to 79 rad/s at 4 min and then decreases in a linear manner to 32 rad/s at 12.5 min. Using ScE and AV probability density estimated, VF of <5 min duration can be identified with 90% sensitivity on the basis of a single 5 s recording of the waveform. The combination of ScE and AV can be used in developing strategies for the treatment of VF during the different clinical phases of VF.

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Year:  2004        PMID: 15002486     DOI: 10.1016/j.resuscitation.2003.07.001

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  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.  Effects of pre-arrest and intra-arrest hypothermia on ventricular fibrillation and resuscitation.

Authors:  James J Menegazzi; Jon C Rittenberger; Brian P Suffoletto; Eric S Logue; David D Salcido; Joshua C Reynolds; Lawrence D Sherman
Journal:  Resuscitation       Date:  2008-10-25       Impact factor: 5.262

3.  Logarithm of the absolute correlations of the ECG waveform estimates duration of ventricular fibrillation and predicts successful defibrillation.

Authors:  Lawrence D Sherman; Thomas D Rea; James D Waters; James J Menegazzi; Clifton W Callaway
Journal:  Resuscitation       Date:  2008-07-01       Impact factor: 5.262

4.  The effect of ischemia on ventricular fibrillation as measured by fractal dimension and frequency measures.

Authors:  Lawrence D Sherman; James T Niemann; John P Rosborough; James J Menegazzi
Journal:  Resuscitation       Date:  2007-07-13       Impact factor: 5.262

5.  Validation of spectral energy for the quantitative analysis of ventricular fibrillation waveform to guide defibrillation in a porcine model of cardiac arrest and resuscitation.

Authors:  Qiyu Yang; Ming Li; Zhaolan Huang; Zhuoyan Xie; Yue Wang; Qin Ling; Xuefen Liu; Wanchun Tang; Longyuan Jiang; Zhengfei Yang
Journal:  J Thorac Dis       Date:  2019-09       Impact factor: 2.895

  5 in total

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