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A novel technique for Electroencephalogram (EEG) compression is proposed inthis article. This technique models the intrinsic dependency inherent betweenthe different EEG channels. It is based on dipole fitting that is usually usedin order to find a solution to the classic problems in EEG analysis: inverseand forward problems. The suggested compression system uses dipole fitting as afirst building block to provide an approximation of the recorded signals. Then,(based on a smoothness factor,) appropriate coding techniques are suggested tocompress the residuals of the fitting process. Results show that this techniqueworks well for different types of recordings and is even able to provide near-lossless compression for event-related potentials.

EEG Compression of Scalp Recordings based on Dipole Fitting