Key result
An ACELP-based coding technique achieved a compression ratio of 87.3% for surface EMG signals with a mean square error in signal reconstruction of 6.74% for experimental signals.
Population
Simulated and experimental surface electromyographic (EMG) signals
Comparison
Algebraic code excited linear prediction… vs Original uncompressed signals
Authors
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May enable efficient EMG telemetry in devices; leaves open clinical validation before cardiac monitoring use.
The ACELP coding scheme provides high rate and low distortion compression for surface EMG signals with moderate complexity and low algorithmic delay.
Carotti et al. (2006) studied this question. Algebraic code excited linear prediction (ACELP) based lossy coding technique was evaluated on Compression ratio and signal reconstruction errors. An ACELP-based coding technique achieved a compression ratio of 87.3% for surface EMG signals with a mean square error in signal reconstruction of 6.74% for experimental signals.
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