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Digital “Barcoding” Techniques for Identification and Decoding of Analog Neuroelectrophysiological Information from Old Printed Registrograms
Authors: Eugen D. Adamovich, Alexander V. Notchenko, Oleg V. Gradov
Number of views: 224
The article considers novel digital “barcoding” methods and techniques for identification and decoding of different analog neuroelectrophysiological information from old printed registrigrams, including rasters, cross-correlogramms, PC-analysis results (Principal Components Analysis) and PSTH. It is obvious, that the basic principle of laser-based barcode reading and real time analysis using CMOS and CCD sensors may be realized not only for linear barcodes, but also for PDF417 or MicroPDF417, Datamatrix, Codablock, stacked barcodes, POSTNET codes, EAN, UPC, Code128 et cetera.