On-Line QRS Complex Detection Using Wavelet Filtering

Abstract

This paper presents a new QRS complex detection algorithm that can be applied in various on-line FCC processing systems The algorithm is performed in two steps: first a wavelet transform filtering is applied to the signal, then QRS complex localization is performed using a maximum detection and peak classification algorithm The algorithm has been tested in two phases, First the QRS detection in FCC registrations from the MIT-BIH database has been performed, which led to an average detection ratio of 99,50%, Then, the algorithm has been implemented into a microcontroller-driven portable Holter device.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410412

Entities

People

  • L. Nagy
  • L. Szilagyi
  • S. M. Szilagyi
  • Z. Benyo

Organizations

  • Budapest University of Technology and Economics

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Attenuation
  • Classification
  • Control Systems Engineering
  • Detection
  • Electrical Engineering
  • Engineering
  • Filtration
  • Frequency
  • Information Systems
  • Intervals
  • Military Research
  • Signal Processing
  • Wavelet Transforms

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Image Processing and Computer Vision.