Title :
Lossless multi-channel EEG compression
Author :
Wongsawat, Y. ; Oraintara, Soontorn ; Tanaka, T. ; Rao, K.R.
Author_Institution :
Dept. of Electr. Eng., Texas Univ., Arlington, TX
Abstract :
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
Keywords :
electroencephalography; image coding; matrix decomposition; medical image processing; EEG channels; EEG compression; Karhunen-Loeve transform; electroencephalogram signals; finite precision processing; integer time frequency transform; lifting scheme; temporal redundancy; Brain modeling; Compression algorithms; Decorrelation; Electrodes; Electroencephalography; Karhunen-Loeve transforms; Predictive coding; Scalp; Signal analysis; Signal processing;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1692909
