Key result
Mean-shape vector quantization (MSVQ) achieved high compression ratios in excess of 39, yielding low data rates of about 140 bps while preserving clinically interesting features of ECG signals.
Population
ECG signals
Design
Other
Authors
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May support efficient remote ECG monitoring; leaves open prospective clinical validation of diagnostic fidelity.
MSVQ is an efficient ECG signal compression method that achieves high compression ratios suitable for ambulatory monitoring.
Cárdenas-Barrera et al. (1999) studied ECG signal compression. Mean-shape vector quantization (MSVQ) was evaluated on Compression ratio and percent-residual-difference. Mean-shape vector quantization (MSVQ) achieved high compression ratios in excess of 39, yielding low data rates of about 140 bps while preserving clinically interesting features of ECG signals.
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