A modified SPIHT compression algorithm for one-dimensional ECG data was significantly more efficient in compression and computation than previously proposed schemes.
Does a modified 1D SPIHT-based wavelet ECG data codec improve compression and computational efficiency compared to previous schemes for ECG records?
A modified 1D SPIHT algorithm for ECG compression offers superior compression and computational efficiency compared to previous methods, with exact bit rate control.
A wavelet electrocardiogram (ECG) data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm is proposed in this paper. The SPIHT algorithm 1 has achieved notable success in still image coding. We modified the algorithm for the one-dimensional case and applied it to compression of ECG data. Experiments on selected records from the MIT-BIH arrhythmia database revealed that the proposed codec is significantly more efficient in compression and in computation than previously proposed ECG compression schemes. The coder also attains exact bit rate control and generates a bit stream progressive in quality or rate.
Lu et al. (Sat,) conducted a other in Arrhythmia. Wavelet ECG data codec based on the set partitioning in hierarchical trees (SPIHT) compression algorithm vs. Previously proposed ECG compression schemes was evaluated on Compression efficiency and computation. A modified SPIHT compression algorithm for one-dimensional ECG data was significantly more efficient in compression and computation than previously proposed schemes.