Presentation 2009-09-14
On the On-line ECG Lossless Data Compression Using Antidictionary for a Finite Alphabet
Takahiro OTA, Hiroyoshi MORITA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) An antidictionary is particular 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 computational space less than they do. Moreover, the proposed algorithm work in real-time. Its effectiveness is demonstrated by simulation results.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Antidictionary / Electrocardiogram / Lossless / Real-time / Data Compression
Paper # MBE2009-44
Date of Issue

Conference Information
Committee MBE
Conference Date 2009/9/7(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To ME and Bio Cybernetics (MBE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On the On-line ECG Lossless Data Compression Using Antidictionary for a Finite Alphabet
Sub Title (in English)
Keyword(1) Antidictionary
Keyword(2) Electrocardiogram
Keyword(3) Lossless
Keyword(4) Real-time
Keyword(5) Data Compression
1st Author's Name Takahiro OTA
1st Author's Affiliation Department of Electronic Engineering, Nagano Prefectural Institute of Technology()
2nd Author's Name Hiroyoshi MORITA
2nd Author's Affiliation Graduate School of Information Systems, University of Electro-Communications
Date 2009-09-14
Paper # MBE2009-44
Volume (vol) vol.109
Number (no) 194
Page pp.pp.-
#Pages 6
Date of Issue