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On-Line Electrocardiogram Lossless Compression Using Antidictionary Codes for a Finite Alphabet

Takahiro OTA, Hiroyoshi MORITA

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Summary :

An antidictionary is particularly useful for data compression, and on-line electrocardiogram (ECG) lossless compression algorithms using antidictionaries have been proposed. They work in real-time with constant memory and give better compression ratios than traditional lossless data compression algorithms, while they only deal with ECG data on a binary alphabet. This paper proposes on-line ECG lossless compression for a given data on a finite alphabet. The proposed algorithm gives not only better compression ratios than those algorithms but also uses less computational space than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.

Publication
IEICE TRANSACTIONS on Information Vol.E93-D No.12 pp.3384-3391
Publication Date
2010/12/01
Publicized
Online ISSN
1745-1361
DOI
10.1587/transinf.E93.D.3384
Type of Manuscript
PAPER
Category
Biological Engineering

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