Compression Approach of EMG Signal Using 2D Discrete Wavelet and Cosine Transforms
Ntsama Eloundou Pascal, Pierre Ele, Kabiena Ivan Basile · American Journal of Signal Processing · 2013
The use of telemed icine is of paramount importance, and often involves the compression of biomedical signals. These signals are sensitive to many statistical parameters and high levels of co mpression, we propose in this work a new approach to comp ression of EM G s ignals. The Discrete Wavelet Transform (DWT) and SPIHT (Set Partit ioning In Hierarchical Trees) coding proven, we propose to adapt this transform by associating the Discrete Cosine Transform (DCT). The idea is to transform the EM G signal in 2D by a technique so as to increase the correlation between pixels. The image thus formed is then segmented into blocks of pixels of size M x N, where each block will undergo the Discrete Wavelet Transform or Discrete Cosine based on criteria that take into account some statistical parameters of order 1 or 2. The operation is repeated on all blocks of the image. The coefficients thus obtained are coded by the SPIHT coding. The results obtained allow reaching a good compro mise between the PRD, the co mpression ratio and quality of reconstruction of the EM G signal.