DocumentCode
3503753
Title
ECG data compression using wavelet and fractal interpolation
Author
Lee, Woo Hee ; Yoon, Young Ro
Author_Institution
Dept. of Biomed. Eng., Yonsei Univ., Seoul, South Korea
Volume
4
fYear
1996
fDate
31 Oct-3 Nov 1996
Firstpage
1388
Abstract
This paper represents the data compression for ECG signals using the wavelet and adaptive fractal interpolation method. The method represents any range of ECG signal by fractal interpolation parameters after wavelet transform. The suggested algorithm was evaluate using MIT/BIH database. A high compression ratio (CR) is achieved with a relatively low percent rms difference (PRD)
Keywords
adaptive codes; data compression; electrocardiography; fractals; interpolation; medical signal processing; transform coding; wavelet transforms; ECG data compression; MIT/BIH database; Mallet transform; adaptive fractal interpolation; high compression ratio; parameter extraction; relatively low percent rms difference; wavelet transform; Data compression; Databases; Electrocardiography; Fractals; Frequency; Interpolation; Low pass filters; Parameter extraction; Wavelet analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location
Amsterdam
Print_ISBN
0-7803-3811-1
Type
conf
DOI
10.1109/IEMBS.1996.647468
Filename
647468
Link To Document