ECG data compression using fractal interpolation

Author

Jun, Young Il ; Ro Yoon, Young ; Ro Yoon, Hyung

Author_Institution

Dept. of Biomed. Eng., Yonsei Univ., Seoul, South Korea

fYear

1994

fDate

3-6 Nov 1994

Firstpage

161

Abstract

Presents a fractal interpolation compression method for ECGs. The method represents any range of ECG signal by fractal interpolation parameters. The variable range size technique is employed in order to reduce the reconstruction error. Small ranges are used for encoding rapidly varying parts of ECG to preserve the signal quality. The suggested algorithm was evaluated using MIT/BIH database. A high compression ratio is achieved with a relatively low percent rms difference

Keywords

data compression; electrocardiography; encoding; fractals; interpolation; medical signal processing; ECG data compression; MIT/BIH database; compression ratio; fractal interpolation parameters; percent rms difference; rapidly varying ECG parts encoding; reconstruction error reduction; signal quality preservation; variable range size technique; Biomedical engineering; Data compression; Databases; Electrocardiography; Encoding; Equations; Fractals; Interpolation; Iterative algorithms; Mathematical model; Parameter extraction;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Conference_Location

Baltimore, MD

Print_ISBN

0-7803-2050-6

Type

conf

DOI

10.1109/IEMBS.1994.411797

Filename

411797