EMG SIGNAL COMPRESSION USING 2D

Flow increasingly important of data in hospitals, medical imaging or outpatient now requires mandatory use software compression of signals and images, backup or for their transmission. In this paper, we are trying to find a solution to this problem by compression of EMG signals by 2D fractals. For this purpose, EMG signals are processed in dimension 2. Matrix of size MxN obtained is reorganized according to the correlation between the pixels and adds new. Then fractal processing by combined methods of Fisher and Jacquin are used for decorrelation. Finally, to increase compression ratio, Huffman coding is applied at the last stage of compression. With this method, we show that fractals can be used to compress EMG signals in order to solve the problem of storage and transmission of EMG signals using techniques dedicated to image compression. Our approach permits us to introduce new encoding parameters which are: 2D cutouts of EMG signal into blocks of pixels. The compression method of EMG signals by 2D fractal is based on a quadtree partitioning, increases compression ratio while minimizing the PRD (Percent Root Square Difference). The results are satisfactory and promising.

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