Wavelet based 2-D ECG compression by implementing of SPIHT algorithm and RL coding

• Published in: 2008 International Conference on Audio, Language and Image Processing pp. 1349 - 1353
• Main Authors: Nayebi, S., Miranbeigi, M.H., Nasrabadi, A.M.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2008
• Subjects: Algorithm design and analysis; Arrays; Electrocardiography; Image coding; Partitioning algorithms; Transforms; Wavelet transforms
• ISBN: 1424417236; 9781424417230
• DOI: 10.1109/ICALIP.2008.4590242

A two dimensional (2-D) wavelet based electrocardiogram (ECG) data compression method is presented which employs a set partitioning in hierarchical trees (SPIHT) and run length (RL) coding. The proposed 2-D approach utilizes the fact that ECG signal generally show redundancy between adjacent beats and between adjacent samples. Meanwhile a set of wavelet functions for implementation in 2-D ECG array was examined. Eight different wavelets are evaluated for their ability to compress ECG. Results show that RL coding increases the compression ratio in the same error. Moreover biorthogonal-6.8 is clearly the best performer in the statistical measure among the eight different evaluated wavelets.