A Channel Differential EZW Coding Scheme for EEG Data Compression

Abstract

In this paper, a method is proposed to compress multi-channel 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… (More)
DOI: 10.1109/TITB.2011.2171703

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