Abstract
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 language | English |
|---|---|
| Number of pages | 1 |
| Journal | Data Compression Conference Proceedings |
| Publication status | Published - 1995 |
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All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Electrical and Electronic Engineering
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Extensive Markov system for ECG exact coding. / Tai, Shen-Chuan.
In: Data Compression Conference Proceedings, 1995.Research output: Contribution to journal › Article
TY - JOUR
T1 - Extensive Markov system for ECG exact coding
AU - Tai, Shen-Chuan
PY - 1995
Y1 - 1995
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0029235489&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0029235489&partnerID=8YFLogxK
M3 - Article
JO - Proceedings of the Data Compression Conference
JF - Proceedings of the Data Compression Conference
SN - 1068-0314
ER -