Effect of Encoding Method on the Distribution of Cardiac Arrhythmias

TL;DR

This study investigates how different ECG signal encoding methods, based on nonlinear features like entropy and complexity, influence the classification of various cardiac arrhythmias, identifying the most effective encoding approach.

Contribution

It introduces a procedure for ECG gating to reduce filtering errors and evaluates the impact of encoding methods on arrhythmia distribution separation.

Findings

Threshold-based ternary encoding yields best separation.

Encoding method significantly affects arrhythmia classification accuracy.

Proposed gating procedure improves signal filtering reliability.

Abstract

This paper presents the evaluation of the effect of the method of ECG signal encoding, based on nonlinear characteristics such as information entropy and Lempel-Ziv complexity, on the distribution of cardiac arrhythmias. Initially proposed a procedure electrocardiographic gating to compensate for errors inherent in the process of filtering segments. For the evaluation of distributions and determine which of the different encoding methods produces greater separation between different kinds of arrhythmias studied (AFIB, AFL, SVTA, VT, Normal's), use a function based on the dispersion of the elements on the centroid of its class, the result being that the best encoding for the entire system is through the method of threshold value for a ternary code with E = 1 / 12.