Abstract
This paper presents a digital signal processing tool developed using MatlabTM, which provides a very low-cost and effective strategy for analog-to-digital conversion of legated paper biomedical maps without requiring dedicated hardware. This software-based approach is particularly helpful for digitalizing biomedical signals acquired from analogical devices equipped with a plottingter. Albeit signals used in biomedical diagnosis are the primary concern, this imaging processing tool is suitable to modernize facilities in a non-expensive way. Legated paper ECG and EEG charts can be fast and efficiently digitalized in order to be added in existing up-to-date medical data banks, improving the follow-up of patients.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Bruce, E.N.: Biomedical Signal Processing and Signal Modelling. Wiley, Chichester (2001)
Kamen, E.W., Heck, B.S.: Fundamentals of Signals and Systems Using Matlab. Prentice Hall, Englewood Cliffs (1997)
da Silva, J.M.M., Lins, R.D., da Rocha, V.C.: Binarizing and Filtering Historical Documents with Back-to-Front Interference. In: SAC 2006: Proceedings of the 2006 ACM symposium on Applied computing, pp. 853–858. ACM Press, New York (2007)
Otsu, N.: A Threshold Selection Method from Grayscale Document Images. IEEE Trans. Syst. Man Cybern. – SMC 9(1), 62–66 (1979)
Trier, O.D., Taxt, T.: Evaluation of Binarization Methods for Document Images. IEEE Trans. Pattern Anal. Mach. Intell. 17(3), 312–315 (1995)
Lins, R.D., Ávila, B.T.: A New Algorithm for Skew Detection in Images of Documents. In: Campilho, A.C., Kamel, M. (eds.) ICIAR 2004. LNCS, vol. 3212, pp. 234–240. Springer, Heidelberg (2004)
Jähne, B.: Digital Image Processing, 3rd edn. Springer, Heidelberg (1995)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing, 2nd edn. Prentice Hall, Englewood Cliffs (2001)
Mallat, S.: A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Machine Intell. 11, 674–693 (1989)
Data bank of Electrocardiograms, http://www.ecglibrary.com
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Silva, A.R.G.e., de Oliveira, H.M., Lins, R.D. (2008). Converting ECG and Other Paper Legated Biomedical Maps into Digital Signals. In: Liu, W., Lladós, J., Ogier, JM. (eds) Graphics Recognition. Recent Advances and New Opportunities. GREC 2007. Lecture Notes in Computer Science, vol 5046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88188-9_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-88188-9_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-88184-1
Online ISBN: 978-3-540-88188-9
eBook Packages: Computer ScienceComputer Science (R0)