Key result
A quality controlled ECG compression algorithm combining Karhunen-Loeve transform and multirate sampling achieved compression rates of approximately 30-40:1 for the MIT-BIH database.
Population
Single-lead ECG records from the MIT-BIH database
Design
Other
Authors
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May enable efficient ECG data handling in monitoring systems; leaves open prospective clinical validation of diagnostic equivalence.
A novel KLT-based ECG compression algorithm with multirate sampling achieves high compression rates (30-40:1) while maintaining clinically adequate beat reconstruction.
Blanchett et al. (1998) studied Electrocardiogram (ECG) compression. KLT-based quality controlled compression algorithm with multirate sampling vs. Wavelet-packet-based compression techniques was evaluated on Compression rate and computational time. A quality controlled ECG compression algorithm combining Karhunen-Loeve transform and multirate sampling achieved compression rates of approximately 30-40:1 for the MIT-BIH database.
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