Lossless Multi-channel EEG Compression
Yodchanan Wongsawat, S. Oraintara, Toshihisa Tanaka, K.R. Rao · 2006
This paper presents a method for losslessly compressing multi-channel electroencephalogram signals. The Karhunen-Loeve transform is used to exploit the inter-correlation among the EEG channels. The transform is approximated using lifting scheme which results in a reversible realization under finite precision processing. An integer time-frequency transform is applied to further minimize the temporal redundancy