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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Gomes e Silva, A. R., De Oliveira, H. M., & Lins, R. D. (2008). Converting ECG and other paper legated biomedical maps into digital signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5046 LNCS, pp. 21–28). https://doi.org/10.1007/978-3-540-88188-9_3
Mendeley helps you to discover research relevant for your work.