Abstract- In this paper, a novel ECG data
compression method is presented which employs set
partitioning in hierarchical trees algorithm (SPIHT),
sub-band energy compression (SEC) method and two-
dimensional electrocardiogram (2D-ECG). The 2D-
ECG is a two-dimensioned array, which each row of
this array indicates one or more period and amplitude
normalized (PANed) ECG beats. In the previous
works, SPIHT and sub-band energy compression
method have used to compress one or two-dimensional
signals separately and have shown their efficiencies
such as precise rate control, progressive quality, high
compression ratio and low root mean square
difference (PRD). In here, we put these two methods
together and illustrate that they can be applied to 2D-
ECG to achieve better results and this is because of
the wavelet transform eliminating effect on
redundancies between adjacent samples –it is also
eliminated in one-dimensional ECG- and between
adjacent beats by applying 2D wavelet transform.
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