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 <...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 <span style="font-family:Verdana;">digitized s-EMG signal. A Discrete Cosine Transforms (DCT) is applied to the MDWPT coefficients (only on detail coefficients). The MDWPT+ DCT coeffici</span><span style="font-family:Verdana;">ents are quantized with a Uniform Scalar Dead-Zone Quantizer (USD</span><span style="font-family:Verdana;">ZQ)</span><span style="font-family:Verdana;">. An arithmetic coder is employed for the entropy coding of symbol streams. The</span><span style="font-family:Verdana;"> proposed approach was tested on more than 35 act</span><span style="font-family:Verdana;">uals S-EMG signals divided into three categories. The proposed approach was evaluated by the foll</span><span style="font-family:Verdana;">owing parameters: Compression Factor (CF), Signal to Noise Ratio (SN</span><span style="font-family:Verdana;">R), </span><span style="font-family:Verdana;">Percent Root mean square Difference (PRD), Mean Frequency Distortion (MFD) </span><span style="font-family:Verdana;">and the Mean Square Error (MSE). Simulation results show that the proposed coding algorithm outperforms some recently developed s-EMG compression algorithms.</span>展开更多
文摘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 <span style="font-family:Verdana;">digitized s-EMG signal. A Discrete Cosine Transforms (DCT) is applied to the MDWPT coefficients (only on detail coefficients). The MDWPT+ DCT coeffici</span><span style="font-family:Verdana;">ents are quantized with a Uniform Scalar Dead-Zone Quantizer (USD</span><span style="font-family:Verdana;">ZQ)</span><span style="font-family:Verdana;">. An arithmetic coder is employed for the entropy coding of symbol streams. The</span><span style="font-family:Verdana;"> proposed approach was tested on more than 35 act</span><span style="font-family:Verdana;">uals S-EMG signals divided into three categories. The proposed approach was evaluated by the foll</span><span style="font-family:Verdana;">owing parameters: Compression Factor (CF), Signal to Noise Ratio (SN</span><span style="font-family:Verdana;">R), </span><span style="font-family:Verdana;">Percent Root mean square Difference (PRD), Mean Frequency Distortion (MFD) </span><span style="font-family:Verdana;">and the Mean Square Error (MSE). Simulation results show that the proposed coding algorithm outperforms some recently developed s-EMG compression algorithms.</span>
