Title :
The choice of wavelet bases in electrocardiogram compression algorithm
Author_Institution :
Phys. & Electron. Inf. Coll., Inner Mongolia Normal Univ., Hohhot, China
Abstract :
This paper is associated with the choice of wavelet bases in electrocardiogram compression. The integer-to-integer wavelet transform in the algorithm, the zero-tree coding and the adaptive arithmetic coding in electrocardiogram is used. The wavelet library is composed of nine wavelets. The MIT-BIH arrhythmia database is used to test the algorithm. The experiment results show that it can significantly reduce the signal distortion by selecting optimal wavelet bases for each segment electrocardiogram in compression algorithm.
Keywords :
adaptive codes; data compression; electrocardiography; medical signal processing; tree codes; wavelet transforms; MIT-BIH arrhythmia database; adaptive arithmetic coding; electrocardiogram compression algorithm; integer-to-integer wavelet transform; signal distortion; wavelet bases; wavelet library; zero-tree coding; Compression algorithms; Electrocardiography; Image coding; Wavelet analysis; Wavelet domain; Wavelet transforms; ECG(electrocardiogram); integer-to-integer wavelet transform; zero-tree coding;
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
DOI :
10.1109/ICMT.2011.6001965
