Phase statistics approach to human ventricular fibrillation

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

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Ventricular fibrillation (VF) is known to be the most dangerous cardiac arrhythmia, frequently leading to sudden cardiac death (SCD). During VF, cardiac output drops to nil and, unless the fibrillation is promptly halted, death usually ensues within minutes. While delivering life saving electrical shocks is a method of preventing SCD, it has been recognized that some, though not many, VF episodes are self-terminating, and understanding the mechanism of spontaneous defibrillation might provide newer therapeutic options for treatment of this otherwise fatal arrhythmia. Using the phase statistics approach, recently developed to study financial and physiological time series, here, we reveal the timing characteristics of transient features of ventricular tachyarrhythmia (mostly VF) electrocardiogram (ECG) and find that there are three distinct types of probability density function (PDF) of phase distributions: uniform (UF), concave (CC), and convex (CV). Our data show that VF patients with UF or CC types of PDF have approximately the same probability of survival and nonsurvival, while VF patients with CV type PDF have zero probability of survival, implying that their VF episodes are never self-terminating. Our results suggest that detailed phase statistics of human ECG data may be a key to understanding the mechanism of spontaneous defibrillation of fatal VF.

Original languageEnglish
Article number051917
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume80
Issue number5
DOIs
Publication statusPublished - 20-11-2009

Fingerprint

fibrillation
Ventricular Fibrillation
statistics
Statistics
Defibrillation
Probability density function
probability density functions
death
arrhythmia
electrocardiography
Cardiac
stopping
Cardiac Arrhythmias
cardiac output
Cardiac Output
Arrhythmia
Nil
Human
Uniform distribution
Shock

All Science Journal Classification (ASJC) codes

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics

Cite this

Wu, Ming Chya ; Watanabe, Eiichi ; Struzik, Zbigniew R. ; Hu, Chin Kun ; Yamamoto, Yoshiharu. / Phase statistics approach to human ventricular fibrillation. In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 2009 ; Vol. 80, No. 5.
@article{4ede52d97b1f430a87f00ba5006fd120,
title = "Phase statistics approach to human ventricular fibrillation",
abstract = "Ventricular fibrillation (VF) is known to be the most dangerous cardiac arrhythmia, frequently leading to sudden cardiac death (SCD). During VF, cardiac output drops to nil and, unless the fibrillation is promptly halted, death usually ensues within minutes. While delivering life saving electrical shocks is a method of preventing SCD, it has been recognized that some, though not many, VF episodes are self-terminating, and understanding the mechanism of spontaneous defibrillation might provide newer therapeutic options for treatment of this otherwise fatal arrhythmia. Using the phase statistics approach, recently developed to study financial and physiological time series, here, we reveal the timing characteristics of transient features of ventricular tachyarrhythmia (mostly VF) electrocardiogram (ECG) and find that there are three distinct types of probability density function (PDF) of phase distributions: uniform (UF), concave (CC), and convex (CV). Our data show that VF patients with UF or CC types of PDF have approximately the same probability of survival and nonsurvival, while VF patients with CV type PDF have zero probability of survival, implying that their VF episodes are never self-terminating. Our results suggest that detailed phase statistics of human ECG data may be a key to understanding the mechanism of spontaneous defibrillation of fatal VF.",
author = "Wu, {Ming Chya} and Eiichi Watanabe and Struzik, {Zbigniew R.} and Hu, {Chin Kun} and Yoshiharu Yamamoto",
year = "2009",
month = "11",
day = "20",
doi = "10.1103/PhysRevE.80.051917",
language = "English",
volume = "80",
journal = "Physical Review E",
issn = "2470-0045",
publisher = "American Physical Society",
number = "5",

}

Phase statistics approach to human ventricular fibrillation. / Wu, Ming Chya; Watanabe, Eiichi; Struzik, Zbigniew R.; Hu, Chin Kun; Yamamoto, Yoshiharu.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 80, No. 5, 051917, 20.11.2009.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Phase statistics approach to human ventricular fibrillation

AU - Wu, Ming Chya

AU - Watanabe, Eiichi

AU - Struzik, Zbigniew R.

AU - Hu, Chin Kun

AU - Yamamoto, Yoshiharu

PY - 2009/11/20

Y1 - 2009/11/20

N2 - Ventricular fibrillation (VF) is known to be the most dangerous cardiac arrhythmia, frequently leading to sudden cardiac death (SCD). During VF, cardiac output drops to nil and, unless the fibrillation is promptly halted, death usually ensues within minutes. While delivering life saving electrical shocks is a method of preventing SCD, it has been recognized that some, though not many, VF episodes are self-terminating, and understanding the mechanism of spontaneous defibrillation might provide newer therapeutic options for treatment of this otherwise fatal arrhythmia. Using the phase statistics approach, recently developed to study financial and physiological time series, here, we reveal the timing characteristics of transient features of ventricular tachyarrhythmia (mostly VF) electrocardiogram (ECG) and find that there are three distinct types of probability density function (PDF) of phase distributions: uniform (UF), concave (CC), and convex (CV). Our data show that VF patients with UF or CC types of PDF have approximately the same probability of survival and nonsurvival, while VF patients with CV type PDF have zero probability of survival, implying that their VF episodes are never self-terminating. Our results suggest that detailed phase statistics of human ECG data may be a key to understanding the mechanism of spontaneous defibrillation of fatal VF.

AB - Ventricular fibrillation (VF) is known to be the most dangerous cardiac arrhythmia, frequently leading to sudden cardiac death (SCD). During VF, cardiac output drops to nil and, unless the fibrillation is promptly halted, death usually ensues within minutes. While delivering life saving electrical shocks is a method of preventing SCD, it has been recognized that some, though not many, VF episodes are self-terminating, and understanding the mechanism of spontaneous defibrillation might provide newer therapeutic options for treatment of this otherwise fatal arrhythmia. Using the phase statistics approach, recently developed to study financial and physiological time series, here, we reveal the timing characteristics of transient features of ventricular tachyarrhythmia (mostly VF) electrocardiogram (ECG) and find that there are three distinct types of probability density function (PDF) of phase distributions: uniform (UF), concave (CC), and convex (CV). Our data show that VF patients with UF or CC types of PDF have approximately the same probability of survival and nonsurvival, while VF patients with CV type PDF have zero probability of survival, implying that their VF episodes are never self-terminating. Our results suggest that detailed phase statistics of human ECG data may be a key to understanding the mechanism of spontaneous defibrillation of fatal VF.

UR - http://www.scopus.com/inward/record.url?scp=71449128005&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=71449128005&partnerID=8YFLogxK

U2 - 10.1103/PhysRevE.80.051917

DO - 10.1103/PhysRevE.80.051917

M3 - Article

VL - 80

JO - Physical Review E

JF - Physical Review E

SN - 2470-0045

IS - 5

M1 - 051917

ER -