Temporal evolution for the phase histogram of ECG during human ventricular fibrillation

Ming Chya Wu, Zbigniew R. Struzik, Eiichi Watanabe, Yoshiharu Yamamoto, Chin Kun Hu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)


A novel approach to momentary/instantaneous morphological assessment of phase histograms, extending phase statistics analysis, is used to investigate electrocardiograms during ventricular fibrillation (VF) in humans. By using empirical mode decomposition (EMD) and the Hilbert transform, we calculate the instantaneous phase of intrinsic mode functions (IMFs) in Holter data from 16 individuals, and construct the corresponding momentary phase histograms, enabling us to inspect the evolution of the waveform of the time series. A measure defined as the difference between the integrals of the probability distribution density of phase in different regions is then used to characterize the morphology of the momentary histograms and their temporal evolution. We find that the measure of morphology difference allows near perfect classification of the VF data into survivor and non-survivor groups. The technique offers a new possibility to improve the effectiveness of intervention in defibrillation treatment and limit the negative side effects of unnecessary interventions. The approach can be implemented in real time and should provide a useful method for early evaluation of (fatal) VF.

Original languageEnglish
Title of host publicationNoise and Fluctuations - 19th International Conference on Noise and Fluctuations, ICNF 2007
Number of pages4
Publication statusPublished - 2007
Event19th International Conference on Noise and Fluctuations, ICNF2007 - Tokyo, Japan
Duration: 09-09-200714-09-2007

Publication series

NameAIP Conference Proceedings
ISSN (Print)0094-243X
ISSN (Electronic)1551-7616


Other19th International Conference on Noise and Fluctuations, ICNF2007

All Science Journal Classification (ASJC) codes

  • General Physics and Astronomy


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