Key result
Linear prediction, Burrows-Wheeler Transformation, and inversion ranks improve ECG compression gain over recent coders.
A novel ECG signal compression technique using Burrows-Wheeler Transformation and linear prediction provides better lossless compression than existing ECG-specific coders and can be adapted as a universal coder.
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May improve ECG data efficiency in storage/transmission; leaves open clinical validation across diverse real-world signals.
Ziya Arnavut (2007) studied ECG signal compression. Linear prediction, Burrows-Wheeler Transformation, and inversion ranks vs. Recently proposed ECG-specific coders was evaluated on Compression gain in terms of weighted average bit per sample. Utilization of linear prediction, Burrows-Wheeler Transformation, and inversion ranks yielded better compression gain in terms of weighted average bit per sample than recently proposed ECG-specific coders.
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