Extensive Markov system for ECG exact coding

Research output: Contribution to journalConference articlepeer-review


In this paper an extensive Markov process, which considers both the coding redundancy and the intersample redundancy, is presented to measure the entropy value of an ECG signal more accurately. It utilizes the intersample correlations by predicting the incoming n samples based on the previous m samples which constitute an extensive Markov process state. Theories of the extensive Markov process and conventional n repeated applications of m-th order Markov process are studied first in this paper. After that, they are realized for ECG exact coding. Results show that a better performance can be achieved by our system. The average code length for the extensive Markov system on the second difference signals was 2.512 bits/sample, while the average Huffman code length for the second difference signal was 3.326 bits/sample.

Original languageEnglish
Number of pages1
JournalData Compression Conference Proceedings
Publication statusPublished - 1995 Jan 1
EventProceedings of the 5th Data Compression Conference - Snowbird, UT, USA
Duration: 1995 Mar 281995 Mar 30

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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