Real time detection of ventricular fibrillation and tachycardia

Physiol Meas. 2004 Oct;25(5):1167-78. doi: 10.1088/0967-3334/25/5/007.

Abstract

The automatic external defibrillator (AED) is a lifesaving device, which processes and analyses the electrocardiogram (ECG) and delivers a defibrillation shock to terminate ventricular fibrillation or tachycardia above 180 bpm. The built-in algorithm for ECG analysis has to discriminate between shockable and non-shockable rhythms and its accuracy, represented by sensitivity and specificity, is aimed at approaching the maximum values of 100%. An algorithm for VF/VT detection is proposed using a band-pass digital filter with integer coefficients, which is very simple to implement in real-time operation. A branch for wave detection is activated for heart rate measurement and an auxiliary parameter calculation. The method was tested with ECG records from the widely recognized databases of the American Heart Association (AHA) and the Massachusetts Institute of Technology (MIT). A sensitivity of 95.93% and a specificity of 94.38% were obtained.

Publication types

  • Validation Study

MeSH terms

  • Algorithms*
  • Automation
  • Databases, Factual
  • Defibrillators
  • Electrocardiography*
  • Humans
  • Microcomputers
  • Reference Values
  • Sensitivity and Specificity
  • Tachycardia / diagnosis*
  • Tachycardia / therapy*
  • Ventricular Fibrillation / diagnosis*
  • Ventricular Fibrillation / therapy