DISCRIMINATION OF VENTRICULAR FIBRILLATION BASED ON CHAOTIC CHARACTERISTICS OF ELECTROCARDIOGRAM SIGNALS

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NOUROUZI M.R.; YAZDANPANAH M.J.

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Journal: IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING Year:2007 | Volume:1 | Issue:1 Page(s): 53-62

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Title

DISCRIMINATION OF VENTRICULAR FIBRILLATION BASED ON CHAOTIC CHARACTERISTICS OF ELECTROCARDIOGRAM SIGNALS

Author(s)

NOUROUZI M.R. | YAZDANPANAH M.J. | Issue Writer Certificate

Keywords

CHAOSQ2

CHAOTIC CHARACTERISTICQ3

ELECTROCARDIOGRAMQ3

VENTRICULAR FIBRILLATIONQ3

NEURAL NETWORKQ2

Abstract

Ventricular Fibrillation (VF) is a dangerous abnormality in the heart activity. During the VF, well known shape of ELECTROCARDIOGRAM (ECG) signal changes to a pseudo-noise waveform. Recent researches have depicted that VF is not a noisy signal. The characteristics of VF and chaotic signals are the same. In this research, these characteristics were studied and used for discriminating the VF signal from the other ELECTROCARDIOGRAM signals. Three types of ELECTROCARDIOGRAM signals including VF, Tachycardia and Normal ECG were used for training and testing a back propagation NEURAL NETWORK. We used these signals in three stages. At the first stage, the power spectrum of signals was used for training and testing the NEURAL NETWORK. Time Series signals were used in the second stage. The result of the first experience was better than the second. At the third stage, we used surrogate technique to enrich the training signals in the time domain. The surrogate technique is a method which has been used in the chaotic systems. By using these new generated signals for training the NEURAL NETWORK, the results of classification were extremely improved. Furthermore, the results of simulations showed that the chaotic dynamic of VF signal is a time dependant one.

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APA: Copy

NOUROUZI, M.R., & YAZDANPANAH, M.J.. (2007). DISCRIMINATION OF VENTRICULAR FIBRILLATION BASED ON CHAOTIC CHARACTERISTICS OF ELECTROCARDIOGRAM SIGNALS. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, 1(1), 53-62. SID. https://sid.ir/paper/81660/en

Vancouver: Copy

NOUROUZI M.R., YAZDANPANAH M.J.. DISCRIMINATION OF VENTRICULAR FIBRILLATION BASED ON CHAOTIC CHARACTERISTICS OF ELECTROCARDIOGRAM SIGNALS. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING[Internet]. 2007;1(1):53-62. Available from: https://sid.ir/paper/81660/en

IEEE: Copy

M.R. NOUROUZI, and M.J. YAZDANPANAH, “DISCRIMINATION OF VENTRICULAR FIBRILLATION BASED ON CHAOTIC CHARACTERISTICS OF ELECTROCARDIOGRAM SIGNALS,” IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, vol. 1, no. 1, pp. 53–62, 2007, [Online]. Available: https://sid.ir/paper/81660/en

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