The architecture and interaction of elements of specialized software for digital discrete sampling of analog paper-recorded electroencephalograms is discussed. Particular attention is given to algorithms for digital image processing and pattern recognition methods.
Similar content being viewed by others
References
Zenkov L. R., Clinical Electroencephalography (with Elements of Epileptology). Guidelines for Doctors [in Russian], MEDpress-inform, Moscow (2012).
Kropotov Yu.D., Quantitative EEG. Cognitive and Evoked Potentials [in Russian], ELBI-SPb, St. Petersburg (2010).
Gnezditskii V.V., The Inverse Problem of EEG and Clinical Electroencephalography (Mapping and Localization of Sources of Electrical Activity in the Brain) [in Russian], MEDpress-inform, Moscow (2004).
Serzhenko N.P., Scientific Basis for the Selection of Optimal Mathematical Software for the Analysis of the Bioelectric Activity of the Brain in Norm and Pathology: Candidate’s dissertation [in Russian], Voronezh (2009).
Bajorski P., Statistics for Imaging, Optics, and Photonics, Wiley (2012).
Gonzalez R.S., et al., Digital Image Processing Using MATLAB [Russian translation], Tekhnosfera, Moscow (2006).
Furman Ya.A., Krevetskii A.K., Peredreev A.A., et al., Introduction to Contour Analysis and Its Application in Image and Signal Processing [in Russian], Fizmatlit, Moscow (2002).
Sevastyanov V.V., Ivanov K.O., In: Works of Volga State University of Technology (2013), pp. 105–112.
Author information
Authors and Affiliations
Corresponding author
Additional information
Translated from Meditsinskaya Tekhnika, Vol. 49, No. 1, Jan.-Feb., 2015, pp. 30–32.
Rights and permissions
About this article
Cite this article
Ivanov, K.O., Sevastyanov, V.V. & Furman, Y.A. Software for Noiseless Digitizing of Analog EEG Recorded on Paper. Biomed Eng 49, 42–45 (2015). https://doi.org/10.1007/s10527-015-9493-y
Received:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10527-015-9493-y