Adaptive data compression of ambulatory ECG using multi templates

K. Akazawa, T. Uchiyama, S. Tanaka, A. Sasamori, E. Harasawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


This paper proposes a new adaptive method of data compression for digital ambulatory electrocardiogram (ECG), considering diagnostic significance of each segment of ECG. R-wave is detected, followed by multi template matching of the detected beat and judgment of noise level; the templates are successively created during processing. The residual signal (difference between the original ECG and the best-fit template) is approximated with FAN (SAPA2) method and then encoded. The error threshold of FAN is decreased during P-wave segments and increased during noise segments; the maximum error of the reconstructed signal at each time is known. This method is applied to ECGs of the AHA (American Heart Association) database and its usefulness is indicated; e.g., bit rate is approximately 400bps at 8% PRD and 200bps at 15% PRD.

Original languageEnglish
Title of host publicationComputers in Cardiology
PublisherPubl by IEEE
Number of pages4
ISBN (Print)0818654708
Publication statusPublished - 1993
Externally publishedYes
EventProceedings of the 1993 Conference on Computers in Cardiology - London, UK
Duration: 1993 Sept 51993 Sept 8

Publication series

NameComputers in Cardiology
ISSN (Print)0276-6574


OtherProceedings of the 1993 Conference on Computers in Cardiology
CityLondon, UK

ASJC Scopus subject areas

  • Computer Science Applications
  • Cardiology and Cardiovascular Medicine


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