ECG Frequency Domain Features Extraction: A New Characteristic for Arrhythmias Classification

Abstract

This article describes a new ECG spectrum feature that allows the classification of dangerous arrhythmia. In order to check the classification effectiveness of this variable, the statistical method known as Anova has been used. The results obtained show that this parameter could be an effective classification feature of dangerous arrhythmia with an approximated probability of error of 0.00%. Keywords - ECG Signal Processing, Feature Extraction

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA411396

Entities

People

  • L. Serrano
  • Leonel Romero

Organizations

  • Public University of Navarre

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Algorithms
  • Arrhythmia
  • Cardiac Arrhythmias
  • Cardiovascular System
  • Classification
  • Databases
  • Engineering
  • Frequency
  • Frequency Domain
  • Medical Personnel
  • Mobile Devices

Readers

  • Computer Vision.
  • Regression Analysis.

Technology Areas

  • AI & ML