Key result
A modified SPIHT compression algorithm for one-dimensional ECG data was significantly more efficient in compression and computation than previously proposed schemes.
Why the study?
Does a modified 1D SPIHT-based wavelet ECG data codec improve compression and computational efficiency compared to previous schemes for ECG records?
Population
Selected electrocardiogram (ECG) records from the MIT-BIH arrhythmia database
Comparison
Wavelet ECG data codec based on a modified… vs Previously proposed ECG compression schemes
Design
Other
Authors
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Improved ECG compression efficiency; hypothesis-generating and requires prospective clinical validation before adoption.
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.
Lu et al. (2000) studied 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.
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