Universal fluctuations in very short ECG episodes

Peter Bakucz; Stephan Willems; Boris A. Hoffmann

Universal fluctuations in very short ECG episodes

Standard

Universal fluctuations in very short ECG episodes. / Bakucz, Peter; Willems, Stephan; Hoffmann, Boris A.

In: ACTA POLYTECH HUNG, Vol. 11, No. 7, 2014, p. 73-82.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Bakucz, P, Willems, S & Hoffmann, BA 2014, 'Universal fluctuations in very short ECG episodes', ACTA POLYTECH HUNG, vol. 11, no. 7, pp. 73-82.

APA

Bakucz, P., Willems, S., & Hoffmann, B. A. (2014). Universal fluctuations in very short ECG episodes. ACTA POLYTECH HUNG, 11(7), 73-82.

Vancouver

Bakucz P, Willems S, Hoffmann BA. Universal fluctuations in very short ECG episodes. ACTA POLYTECH HUNG. 2014;11(7):73-82.

Bibtex

@article{7f1d08d4112148879fbc78b524fed713,

title = "Universal fluctuations in very short ECG episodes",

abstract = "We propose a new algorithm for the detection of ventricular fibrillation (VF) in very short surface electrocardiogram (ECG) episodes. Ventricular fibrillation is the most commonly identified arrhythmia in cardiac arrest patients and can lead to syncope, within seconds. The fast detection of ventricular fibrillation is necessary for prompt defibrillation either with an implantable cardioverter/defibrillator or an automated external defibrillator. Ventricular fibrillation generates stochastic waveforms and recently it has been shown that it exhibits characteristics similar to a non-chaotic signal and contains determinism Probability Density Function (PDF), for the different physical fluctuations was described previously. Accordingly, we describe scaling properties of very short shockable, VF and non-shockable ECG episodes and show that a universal PDF exists for the fluctuations of shockable ECG episodes. We compared the proposed algorithm with nine standard VF detection algorithms. The comparison indicated that our algorithm consistently produced more accurate detection results, then with standard algorithm. We conclude that the proposed method, based on fluctuation analysis, provides new information on the dynamics underlying VF, and allows a better detection compared to other algorithms.",

keywords = "Defibrillation, Electrocardiogram, Probability density function, Universal fluctuations, Ventricular fibrillation",

author = "Peter Bakucz and Stephan Willems and Hoffmann, {Boris A.}",

year = "2014",

language = "English",

volume = "11",

pages = "73--82",

journal = "ACTA POLYTECH HUNG",

issn = "1785-8860",

publisher = "Obuda University",

number = "7",

}

RIS

TY - JOUR

T1 - Universal fluctuations in very short ECG episodes

AU - Bakucz, Peter

AU - Willems, Stephan

AU - Hoffmann, Boris A.

PY - 2014

Y1 - 2014

N2 - We propose a new algorithm for the detection of ventricular fibrillation (VF) in very short surface electrocardiogram (ECG) episodes. Ventricular fibrillation is the most commonly identified arrhythmia in cardiac arrest patients and can lead to syncope, within seconds. The fast detection of ventricular fibrillation is necessary for prompt defibrillation either with an implantable cardioverter/defibrillator or an automated external defibrillator. Ventricular fibrillation generates stochastic waveforms and recently it has been shown that it exhibits characteristics similar to a non-chaotic signal and contains determinism Probability Density Function (PDF), for the different physical fluctuations was described previously. Accordingly, we describe scaling properties of very short shockable, VF and non-shockable ECG episodes and show that a universal PDF exists for the fluctuations of shockable ECG episodes. We compared the proposed algorithm with nine standard VF detection algorithms. The comparison indicated that our algorithm consistently produced more accurate detection results, then with standard algorithm. We conclude that the proposed method, based on fluctuation analysis, provides new information on the dynamics underlying VF, and allows a better detection compared to other algorithms.

AB - We propose a new algorithm for the detection of ventricular fibrillation (VF) in very short surface electrocardiogram (ECG) episodes. Ventricular fibrillation is the most commonly identified arrhythmia in cardiac arrest patients and can lead to syncope, within seconds. The fast detection of ventricular fibrillation is necessary for prompt defibrillation either with an implantable cardioverter/defibrillator or an automated external defibrillator. Ventricular fibrillation generates stochastic waveforms and recently it has been shown that it exhibits characteristics similar to a non-chaotic signal and contains determinism Probability Density Function (PDF), for the different physical fluctuations was described previously. Accordingly, we describe scaling properties of very short shockable, VF and non-shockable ECG episodes and show that a universal PDF exists for the fluctuations of shockable ECG episodes. We compared the proposed algorithm with nine standard VF detection algorithms. The comparison indicated that our algorithm consistently produced more accurate detection results, then with standard algorithm. We conclude that the proposed method, based on fluctuation analysis, provides new information on the dynamics underlying VF, and allows a better detection compared to other algorithms.

KW - Defibrillation

KW - Electrocardiogram

KW - Probability density function

KW - Universal fluctuations

KW - Ventricular fibrillation

UR - http://www.scopus.com/inward/record.url?scp=84907253282&partnerID=8YFLogxK

M3 - SCORING: Journal article

AN - SCOPUS:84907253282

VL - 11

SP - 73

EP - 82

JO - ACTA POLYTECH HUNG

JF - ACTA POLYTECH HUNG

SN - 1785-8860

IS - 7

ER -