ECG compression with block encoding

Author

Huang, B. ; Kinsner, W.

Author_Institution

Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada

Volume

2

fYear

2002

fDate

2002

Firstpage

1015

Abstract

This paper presents an electrocardiogram (ECG) frame (beat) compression scheme using block encoding and windowed-variance techniques, where the ECG frame has already been classified. Compression of the complicated ECG frame is converted into a linear time registration problem of segments in this scheme. The segment in the frame is detected and partitioned by the windowed-variance technique. It is computationally inexpensive. A high compression ratio of nearly 50:1 is achieved and not related to the reconstruction error. The normalized percent root-mean-square difference is about 2.53% for a 10-minute ECG recording.

Keywords

data compression; electrocardiography; encoding; medical signal detection; medical signal processing; signal classification; ECG compression; beat compression; block encoding; compression ratio; electrocardiogram; frame compression; linear time registration; segment detection; windowed-variance technique; Data compression; Databases; Electrocardiography; Encoding; Hospitals; Laboratories; Sampling methods; Signal resolution; Signal sampling; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 2002. IEEE CCECE 2002. Canadian Conference on

ISSN

0840-7789

Print_ISBN

0-7803-7514-9

Type

conf

DOI

10.1109/CCECE.2002.1013083

Filename

1013083