Methods of Signal Analysis for Automatic Diagnosis of Shockable Cardiac Arrhythmias: A Review

Ventricular fibrillation is considered the most common cause of sudden cardiac arrest. The fibrillation, and ventricular tachycardia often preceding it, are rhythms that may respond to emergency electroshock therapy return normal sinus rhythm when diagnosed early after arrest with restoration adequate pumping function. However, manually checking ECG signals on existence a pattern such arrhythmias risky time-consuming task in stressful situations practically impossible absence qualified medical specialist. Therefore, systems computer classification function making decision necessity electric cardioversion parameters high-voltage pulse calculated adaptively for each patient widely used automatic diagnosis conditions. This paper discusses methods analyzing electrocardiographic signal taken from electrodes an external or semi-automatic defibrillator order make defibrillation, which applicable embedded software semiautomatic defibrillators. includes overview filtering techniques as well subsequent algorithms extracting, classifying compressing features signal.