Title :
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
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;
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
DOI :
10.1109/IEMBS.1994.411797
