AnjalyJosephT and Arun.K.L
Mar Athanasius Engineering College, India

In this work, anovel ECG data compression method is presented which employs set partitioning in hierarchical trees algorithm(SPIHT) on two dimensional electrocardiogram(2D-ECG).The 2D ECG is a two dimensioned array, in which each row of this array indicates one or more period and amplitude[7] normalized ECG beats. WhenSPIHT algorithm is used to compress one or two-dimensional signals separately it is observed that they achieve precise rate control, progressivequality, highcompression ratio and low root mean square[7] difference(PRD).Better results are attained because of the wavelet transform eliminating effect[7] on redundancies between adjacent samples. Itis also eliminated in one-dimensional ECG-and between adjacent beats by applying 2D wavelet transform. TheSPIHT algorithm has achieved prominent success in signal compression. Experiments on selected records of ECG from MIT-BIH arrhythmia database revealed that the proposed algorithm is significantly more efficient for compression.

SPIHTAlgorithm, 2Dwaveletdecomposition, encoding