Dictionary based coding for ECG data compression

Author

Barlas, G.D. ; Frangakis, Gerassimos P. ; Skordalakis, Emmanuel S.

Author_Institution

Inst. of Inf. & Telecommun., NCSR Democritos, Athens, Greece

fYear

1993

fDate

5-8 Sep 1993

Firstpage

397

Lastpage

400

Abstract

ECG data compression is usually performed in two steps: (a) modelling of the signal and (b) coding of the data that result from the model in (a). A dictionary based coding scheme is proposed that can efficiently handle the arbitrary valued data that result from the modelling phase. The majority of the compression schemes described in the literature employ Huffman and more rarely arithmetic encoders, adopted from text compression, that were not designed to handle data exceeding the range covered by an 8-bit quantity. The coding scheme proposed can handle 16-bit symbols and furthermore is faster and exhibits better compression ratio than 0-order Huffman encoders

Keywords

data compression; electrocardiography; medical signal processing; 16 bit; 16-bit symbols; ECG data compression; arbitrary valued data; coding scheme; compression schemes; data coding; dictionary based coding; modelling phase; signal modelling; Arithmetic; Chromium; Data compression; Dictionaries; Electrocardiography; History; Huffman coding; Informatics; Telecommunication computing;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1993, Proceedings.

Conference_Location

London

Print_ISBN

0-8186-5470-8

Type

conf

DOI

10.1109/CIC.1993.378420

Filename

378420