ECG signal compression and analysis in long-term monitoring

Author

Huang, B. ; Kinsner, W.

Author_Institution

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

Volume

2

fYear

1999

fDate

9-12 May 1999

Firstpage

797

Abstract

This paper presents a moment-invariant compression technique for electrocardiogram (ECG) signals, applicable in a long-term (Holter) monitoring and analysis. It focuses on morphological cycle-to-cycle ECG data compression of a normal case. Experimental results show that the technique is suitable for real-time computation. Combined with Shannon-Fano encoding, the compression ratio achieves 21.74:1. The reconstruction error is very low, and performance is less affected by noise.

Keywords

coding errors; data compression; electrocardiography; medical signal processing; patient monitoring; real-time systems; signal reconstruction; ECG signal compression; Holter monitoring; Shannon-Fano encoding; compression ratio; electrocardiogram signals; long-term monitoring; moment-invariant compression technique; morphological cycle-to-cycle ECG data compression; noise; normal case; performance; real-time computation; reconstruction error; Computerized monitoring; Data compression; Data engineering; Electrocardiography; Image reconstruction; Laboratories; Morphology; Signal analysis; Signal processing; Signal sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1999 IEEE Canadian Conference on

Conference_Location

Edmonton, Alberta, Canada

ISSN

0840-7789

Print_ISBN

0-7803-5579-2

Type

conf

DOI

10.1109/CCECE.1999.808050

Filename

808050