Key result
The proposed quality-driven gold washing adaptive vector quantization algorithm achieved an average percent of root mean square difference of 6% and a compressed data rate of 410 bits/s.
Population
Four sets of ECG data with entirely different characteristics selected from the MIT/BIH database
Authors
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May enable efficient ECG monitoring in bandwidth-limited settings; leaves open prospective clinical validation.
The proposed quality-driven GW-AVQ algorithm allows for automated distortion threshold assignment, achieving efficient ECG data compression with excellent visual quality.
Miaou et al. (2000) studied ECG data compression (n=4). Quality driven gold washing adaptive vector quantization (GW-AVQ) algorithm was evaluated on Percent of root mean square difference (PRD) and compressed data rate. The proposed quality-driven gold washing adaptive vector quantization algorithm achieved an average percent of root mean square difference of 6% and a compressed data rate of 410 bits/s.
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