Comparison of Wavelet Packets With Cosine-Modulated Pseudo-QMF Bank for ECG Compression

Abstract

An electrocardiogram (ECG) compression technique based on subband coding has been developed in this paper to compare with compression techniques based on Wavelet Packets (WP). The filter bank designed is a cosine-modulated pseudo-QMF bank using the Kaiser Window Approach (KWA) method that does not have the perfect reconstruction (PR) property, as opposed to WP that are implemented by means of a PR filter bank. In both schemes, the coding process is the same to be able to compare the results. This is earned out using a very easy algorithm based on a thresholding technique, which provides good compression rate. Its main application is to encode long-term registers of digitized electrocardiogram signal, in order to reduce the bit rate. To preserve the reconstructed signal accuracy, the percentage root-mean-square difference (PRD) is used as an objective measurement parameter, which is selected before compression. The tests have been done for the twelve principal cardiac leads, and the compression degree measurement is evaluated by means of the mean number of bits per sample (MBPS) and the compression ratio (CR).

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410018

Entities

People

  • F. Cruz-roldan
  • F. Lopez-ferreras
  • M. Blanco-velasco
  • P. Martin-martin

Organizations

  • Technical University of Madrid

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Compression
  • Compression Ratio
  • Decomposition
  • Electrocardiography
  • Electronic Mail
  • Filters
  • Frequency
  • Frequency Domain
  • Health Services
  • Precision
  • Prototypes
  • Transfer Functions
  • Trees (Data Structures)
  • Vector Spaces
  • Visual Inspection

Fields of Study

  • Engineering

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Programming and Software Development.
  • Radio communications and signal processing.