Literature DB >> 16839796

Multifractal analysis of ventricular fibrillation and ventricular tachycardia.

Gang Wang1, Hai Huang, Hongbo Xie, Zhizhong Wang, Xiao Hu.   

Abstract

A study of ventricular fibrillation and ventricular tachycardia was undertaken using multifractal analysis. By applying the method of direct determination of the f(alpha) singularity spectrum, the value of the area of the VF and VT singularity spectrum was calculated. The comparison between the results showed that the value of the area of the VF singularity spectrum tended to be larger than that of the value of the area of the VT singularity spectrum. This makes the multifractal singularity spectrum a powerful criterion for discriminating between VF and VT.

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Year:  2006        PMID: 16839796     DOI: 10.1016/j.medengphy.2006.05.007

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Classification of surface electromyographic signals by means of multifractal singularity spectrum.

Authors:  Gang Wang; Doutian Ren
Journal:  Med Biol Eng Comput       Date:  2012-11-07       Impact factor: 2.602

Review 2.  Using Continuous Glucose Monitoring Data and Detrended Fluctuation Analysis to Determine Patient Condition: A Review.

Authors:  Felicity Thomas; Matthew Signal; J Geoffrey Chase
Journal:  J Diabetes Sci Technol       Date:  2015-06-30

3.  Introduction to multifractal detrended fluctuation analysis in matlab.

Authors:  Espen A F Ihlen
Journal:  Front Physiol       Date:  2012-06-04       Impact factor: 4.566

4.  The analysis of surface EMG signals with the wavelet-based correlation dimension method.

Authors:  Gang Wang; Yanyan Zhang; Jue Wang
Journal:  Comput Math Methods Med       Date:  2014-04-27       Impact factor: 2.238

5.  Analysis and classification of droplet characteristics from atomizers using multifractal analysis.

Authors:  V Godavarthi; K Dhivyaraja; R I Sujith; M V Panchagnula
Journal:  Sci Rep       Date:  2019-11-07       Impact factor: 4.379

6.  Endogenous multifractal brain dynamics are modulated by age, cholinergic blockade and cognitive performance.

Authors:  John Suckling; Alle Meije Wink; Frederic A Bernard; Anna Barnes; Edward Bullmore
Journal:  J Neurosci Methods       Date:  2008-07-23       Impact factor: 2.390

7.  Influence of age and aerobic fitness on the multifractal characteristics of electrocardiographic RR time-series.

Authors:  Michael J Lewis; Melitta A McNarry
Journal:  Front Physiol       Date:  2013-05-13       Impact factor: 4.566

  7 in total

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