A Channel Differential EZW Coding Scheme for EEG Data Compression

作者：Dehkordi Vahid R^*; Daou Hoda; Labeau Fabrice

来源：IEEE Transactions on Information Technology in Biomedicine, 2011, 15(6): 831-838.

DOI：10.1109/TITB.2011.2171703

• Data compression
• electroencephalographic (EEG)
• wavelet transform (WT)

In this paper, a method is proposed to compress multichannel electroencephalographic (EEG) signals in a scalable fashion. Correlation between EEG channels is exploited through clustering using a k- means method. Representative channels for each of the clusters are encoded individually while other channels are encoded differentially, i.e., with respect to their respective cluster representatives. The compression is performed using the embedded zero-tree wavelet encoding adapted to 1-D signals. Simulations show that the scalable features of the scheme lead to a flexible quality/rate tradeoff, without requiring detailed EEG signal modeling.

• 出版日期2011-11