SIGNAL PROCESSING OF THE ECG DURING VENTRICULAR FIBRILLATION.

A. Chen-Menaker, S. Einav, M. Manoach, D. Varon

Research output: Contribution to conferencePaperpeer-review

Abstract

The Electro-cardiogram (ECG) is a major tool in clinical diagnosis. Reading of the ECG recordings enables the physician to distinguish between different types of Ventricular Fibrillation. Such diagnosis is available only in very clear cut situations (typical recordings of the ECG). To enable a more precise diagnosis, a mathematical analysis of the electrical signal for each type of ventricular fibrillation is required. The purpose of the work carried out is to present here a mathematical analysis as mentioned above. During the work, recordings of the electrical signal were taken from several cats and dogs during different types of ventricular fibrillation. Digitized signal processing was applied to the signals in the time and frequency domain, using the nonparametric approach.

Original languageEnglish
StatePublished - 1985

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