New Domain Block Partitioning Based on Complexity Measure of ECG

Abstract

This paper introduces a new domain block partitioning scheme for a nonlinear iterated function systems (NIFS) compression of electrocardiogram (ECG) signals based on their complexity measure. The idea behind the scheme is based on the multifractal characteristics of the ECG signal. The partitioning is intended to reduce the time-consuming inverse problem in fractal compression The proposed technique gives computational complexity of O(N) for a time series with length N, The segmented NIFS achieves a compression ratio of 8.8:1 under a distortion error of 5.8%, as compared to that of 6.0:1 obtained by Oeien and Narstad's orthogonal transform.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410006

Entities

People

  • B. Huang
  • W. Kinsner

Organizations

  • University of Manitoba

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Classification
  • Coefficients
  • Compression
  • Compression Ratio
  • Computational Complexity
  • Computer Programming
  • Computers
  • Data Compression
  • Electrocardiography
  • Engineering
  • Errors
  • High Resolution
  • Manitoba
  • Personal Computers
  • Segmented

Fields of Study

  • Computer science

Readers

  • Aerospace Propulsion Engineering.
  • Approximation Theory.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience