title: EEG data compression with source coding techniques.
abstract: 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.
authors.affiliation: Department of Neurology and Clinical Neurophysiology, Medical School of Hannover, Germany.
authors.forename: H
authors.initials: H
authors.lastname: Hinrichs
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D004569:Electroencephalography; D011381:Programming Languages; D012815:Signal Processing, Computer-Assisted