In this paper we introduce an effective ECG
compression algorithm based on two dimensional multi-
wavelet transform. Multi-wavelets offer simultaneous
orthogonality, symmetry and short support, which is not
possible with scalar two-channel wavelet systems. These
features are known to be important in signal processing. Thus
multiwavelet offers the possibility of superior performance for
image processing applications. The SPIHT algorithm has
achieved notable success in still image coding. We suggested
applying SPIHT algorithm to 2-D multi-wavelet transform of
2-D arranged ECG signals. Experiments on selected records
of ECG from MIT-BIH arrhythmia database revealed that the
proposed algorithm is significantly more efficient in
comparison with previously proposed ECG compression
schemes.
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