Literature DB >> 17320800

Irregularity test for very short electrocardiogram (ECG) signals as a method for predicting a successful defibrillation in patients with ventricular fibrillation.

Timotej Jagric1, Marko Marhl, Dusan Stajer, Spela Tadel Kocjancic, Tomaz Jagric, Matej Podbregar, Matjaz Perc.   

Abstract

A significant proportion of patients with ventricular fibrillation (VF) can only be defibrillated after a period of chest compressions and ventilation before the defibrillation attempt. In these patients, unsuccessful defibrillations increase the duration of heart arrest and reduce the possibility of a successful resuscitation, which could be avoided if a reliable prediction for the success of defibrillation could be made. A new method is presented for estimating the irregularity in very short electrocardiographic (ECG) recordings that enables the prediction of a successful defibrillation in patients with VF. This method is based on a recently developed determinism test for very short time series. A slight modification shows that the method can be used to determine relative differences in irregularity of the studied signals. In particular, ECG recordings of VF from patients who could be successfully defibrillated are characterized by a higher level of irregularity, indicating a chaotic nature of the dynamics of the heart, which is in agreement with previous studies on long ECG recordings showing that cardiac chaos was prevalent in healthy heart, whereas in severe congestive heart failure, a decrease in the chaotic behavior was observed.

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Year:  2007        PMID: 17320800     DOI: 10.1016/j.trsl.2006.09.004

Source DB:  PubMed          Journal:  Transl Res        ISSN: 1878-1810            Impact factor:   7.012


  2 in total

1.  The prognostic value of non-linear analysis of heart rate variability in patients with congestive heart failure--a pilot study of multiscale entropy.

Authors:  Yi-Lwun Ho; Chen Lin; Yen-Hung Lin; Men-Tzung Lo
Journal:  PLoS One       Date:  2011-04-13       Impact factor: 3.240

2.  Assessment of Local Dynamic Stability in Gait Based on Univariate and Multivariate Time Series.

Authors:  Henryk Josiński; Adam Świtoński; Agnieszka Michalczuk; Piotr Grabiec; Magdalena Pawlyta; Konrad Wojciechowski
Journal:  Comput Math Methods Med       Date:  2019-07-25       Impact factor: 2.238

  2 in total

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