Key result
An adaptive long-term prediction method for ECG compression reduced signal size to about 50 bits per second with <10% RMSRE, introducing 10 times less redundancy than an optimized Huffman coder.
A new ECG compression method using adaptive prediction achieves efficient data reduction with low reconstruction error, suitable for real-time applications.
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May enable efficient ECG telemetry in bandwidth-limited settings; leaves open prospective clinical validation.
Szilágyi et al. (2002) studied this question. Adaptive long term prediction method vs. Optimized Huffman coder was evaluated on Root mean square reconstruction error (RMSRE) and signal size. An adaptive long-term prediction method for ECG compression reduced signal size to about 50 bits per second with <10% RMSRE, introducing 10 times less redundancy than an optimized Huffman coder.
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