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
fDate :
31 Oct-3 Nov 1996
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;
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
DOI :
10.1109/IEMBS.1996.647468
