Classification of ECG Signals By the Neighborhood Feature Extraction Method

Çiğdem Bakir

doi:10.17694/bajece.86662

Abstract

In this study, non-linear dimension reduction methods were applied to ECG signals and success of such dimension reduction techniques for the classification and segmentation of ECG signals were discussed. Also, segmentation of data through neighbourhood feature extraction (NFE) method were enabled by transiting from high dimensioned space to low dimension space by considering the longitudinal combination of ECG signals. Results classification results of NFE algorithm performed through longitudinal combination and as a newly developed method were compared with classification results of ECG signals obtained through dimension reduction by taking one pixel. Results of NFE dimension reduction technique performed by considering the neighbour pixels, advantage of effect on segmentation of ECG signals were presented at empirical results section and the success of suggested method was indicated. Results obtained by performed study are promising for the studies to be conducted in further period.

Highlights

ELECTROCARDIOGRAM (ECG) means electrical signs, which show how the heart works in the human body and show heart motions
Cardiac diseases arisen depending on cardiac arrhythmias, and cardiologic disorders and anomalies occurred in heart are diagnosed by ECG signals
50 70.03 64.87 71.64 78.54 71.87 In Table 5, the results of classification done by kNN interpolation in neighbourhood feature extraction (NFE) technique and suggested by ensuring the extensional combination for dimension 5 are shown, and in Table 6, the results of classification done for dimension 10 are shown

Summary

Introduction

ELECTROCARDIOGRAM (ECG) means electrical signs, which show how the heart works in the human body and show heart motions. Cardiac diseases arisen depending on cardiac arrhythmias, and cardiologic disorders and anomalies occurred in heart are diagnosed by ECG signals. It is very important today that ECG signals can be analyzed properly [1]. Today most people die depending on cardiac diseases. Attention must be paid to heart health. ECG records any changes in the electrical signs generated in the heart and dispersing to all body and tries to diagnose any disorders occurred in the heart. ECG shows briefly the heartbeat and is used commonly in signal processing [2]

Methods

Results

Conclusion