ACELP-Based Compression of Multi-Channel Surface EMG Signals

In this paper we extend a lossy compression technique for surface EMG signals, which is based on the algebraic code excited linear prediction (ACELP) paradigm, to compress multi-channel surface EMG recordings by exploiting the correlation between the line spectral frequencies (LSF). Experimental results show that the LSFs of the inner signals in a multi-channel recording can be efficiently represented with 13 bit/frame, versus the 38 bit/frame needed by independent ACELP coding of each signal, thus saving 66% of the bandwidth needed to transmit these coefficients while maintaining comparable performance in terms of the SNR, average rectified value and root mean square of the waveform, and mean and median frequencies of the power spectrum.