Abstract
A new Modified Discrete Wavelets Packets Transform (MDWPT) based method for the compression of Surface EMG signal (s-EMG) data is presented. A Modified Discrete Wavelets Packets Transform (MDWPT) is applied to the digitized s-EMG signal. A Discrete Cosine Transforms (DCT) is applied to the MDWPT coefficients (only on detail coefficients). The MDWPT+ DCT coefficients are quantized with a Uniform Scalar Dead-Zone Quantizer (USDZQ). An arithmetic coder is employed for the entropy coding of symbol streams. The proposed approach was tested on more than 35 actuals S-EMG signals divided into three categories. The proposed approach was evaluated by the following parameters: Compression Factor (CF), Signal to Noise Ratio (SNR), Percent Root mean square Difference (PRD), Mean Frequency Distortion (MFD) and the Mean Square Error (MSE). Simulation results show that the proposed coding algorithm outperforms some recently developed s-EMG compression algorithms.
Highlights
Electromyographic signal compression is a recurrent topic in telemedicine
The proposed approach was evaluated by the following parameters: Compression Factor (CF), Signal to Noise Ratio (SNR), Percent Root mean square Difference (PRD), Mean Frequency Distortion (MFD) and the Mean Square Error (MSE)
The results presented below show that the proposed approach is effective quantitatively and qualitatively in compressing surface EMG signals, it is imperative to compare these performances with the scientific works reported in the literature
Summary
The state of the art of S-EMG signal compression, which we are going to present here, will be essentially based on transform methods. In the interest of improving S-EMG compression techniques, have invested in a hybrid approach, modifying standard transform-based coders. Vector quantization has been applied to the transformed wavelet coefficient vector [15] Another approach used mathematical models or neural networks [16] [17] [18] to approximate the shape of spectral amplitude in the wavelet domain. Another approach has modified the JPEG 2000 standard into 1D (one dimension) [6] to compress S-EMG. It was clear from this work that the MDWPT is suitable for compress-
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