EEG data compression with source coding techniques.
A data compression algorithm for the EEG, derived from the adaptive pulse code modulation scheme, is described where the consecutively computed differences are coded by passing them through a quantizer possessing only a few levels; the range of these levels is adapted to local signal statistics. Three different versions of the algorithm with data reduction up to 75% are presented. The system was validated using several multichannel-routine EEG recordings with both visual evaluation and computation of signal-to-noise ratios.
Hinrichs
H
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Department of Neurology and Clinical Neurophysiology, Medical School of Hannover, Germany.
D000465:Algorithms; D003627:Data Interpretation, Statistical; D004569:Electroencephalography; D011381:Programming Languages; D012815:Signal Processing, Computer-Assisted