Analysis and Performance Evaluation of Electrocardiogram Data compression Techniques.

Abstract

EKG data compression techniques were investigated for potential real time implementation on an 8 bit Motorola 6800 microprocessor. Research indicated entropy reduction transform technique such as the Fast Fourier Transform and the discrete Karhunen-Loeve Transform were not feasible for implementation on the 6800. Two redundancy reduction (RR) techniques (TOLAN and DOWER) utilizing 2nd order difference operations in conjunction with variable length encoding were studied in detail. One such RR technique (TOLAN) was fully implemented and tested with 'in vivo' EKG data. Analysis revealed compression ratios ranging from 1.25:1 to 2.26:1. Investigation of the poor performance of the compression algorithm showed significant degradation of the 2nd order environment. It was concluded that real time EKG data compression is feasible on the 6800 but that time compression techniques which store a zero value sequence counter versus the value of zero are not efficient in a high noise environment. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1980
Accession Number
ADA100799

Entities

People

  • Melvin D. Townsend

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • C4I
  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Command And Control
  • Communication Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Compression
  • Databases
  • Digital Communications
  • Electrocardiography
  • Health Services
  • Information Processing
  • Information Theory
  • Medical Personnel
  • Operating Systems
  • Plastic Explosives
  • Random Variables
  • Signal Processing

Fields of Study

  • Engineering

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Radio communications and signal processing.