A novel approach for the diagnosis of ventricular tachycardia based on phase space reconstruction of ECG

TL;DR

This paper introduces a new method using phase space reconstruction of ECG signals to improve the automatic diagnosis of ventricular tachycardia and differentiate it from normal sinus rhythm.

Contribution

It proposes a novel index based on phase space reconstruction for better differential diagnosis of ventricular arrhythmias from ECG data.

Findings

Effective in distinguishing ventricular tachycardia from normal rhythm

Improves accuracy of automatic ECG analysis

Provides a new tool for clinical diagnosis

Abstract

Ventricular arrhythmias comprise a group of disorders which manifest clinically in a variety of ways from ventricular premature beats (VPB) and no sustained ventricular tachycardia (in healthy subjects) to sudden cardiac death due to ventricular tachyarrhythmia in patients with and/or without structural heart disease. Ventricular fibrillation (VF) and ventricular tachycardia (VT) are the most common electrical mechanisms for cardiac arrest. Accurate and automatic recognition of these arrhythmias from electrocardiography (ECG) is a crucial task for medical professionals. The purpose of this research is to develop a new index for the differential diagnosis of normal sinus rhythm (SR) and ventricular arrhythmias, based on phase space reconstruction (PSR).