ECG data compression with the Karhunen-Loeve transform

Author

Olmos, Salvador ; Millán, Mar ; Garcia, Jose ; Laguna, Pablo

Author_Institution

Centro Politecnico Superior, Zaragoza Univ., Spain

fYear

1996

Firstpage

253

Lastpage

256

Abstract

The authors analyze a Karhunen-Loeve transform technique for ECG data compression. This transform has been, applied in two different ways: to the entire beat signal and to independent windows (P wave, QRS complex and ST-T complex). The optimum number of coefficients and bits for coding the signal is analyzed for the MIT-BIH Arrythmia database. The data compression performance of both choices are: for the entire beat a mean compression ratio of 12.1 with a mean MSE of 0.3% and for shorter windows a mean compression ratio of 17.21 with a mean value of MSE of 0.44%.

Keywords

data compression; electrocardiography; encoding; medical signal processing; transforms; ECG data compression; ECG windows; Karhunen-Loeve transform technique; MIT-BIH Arrythmia database; P wave; QRS complex; ST-T complex; data compression performance; electrodiagnostics; entire beat signal; mean compression ratio; optimum bits number; optimum coefficients number; Covariance matrix; Data compression; Databases; Discrete cosine transforms; Eigenvalues and eigenfunctions; Electrocardiography; Karhunen-Loeve transforms; Redundancy; Tires; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology, 1996

Conference_Location

Indianapolis, IN, USA

ISSN

0276-6547

Print_ISBN

0-7803-3710-7

Type

conf

DOI

10.1109/CIC.1996.542521

Filename

542521