Converting ECG and other paper legated biomedical maps into digital signals
A.R. Gomes e Silva, H.M. de Oliveira, R.D. Lins

TL;DR
This paper introduces a cost-effective Matlab-based digital signal processing tool for converting analog biomedical maps, like ECG and EEG charts, into digital signals without specialized hardware, enhancing medical data management.
Contribution
The paper presents a novel software approach for digitizing paper-based biomedical signals, eliminating the need for dedicated hardware and facilitating modernization of medical facilities.
Findings
Efficient digitalization of ECG and EEG charts achieved
Low-cost software solution suitable for existing analog devices
Improves patient follow-up through digital data integration
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.
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Taxonomy
TopicsECG Monitoring and Analysis · EEG and Brain-Computer Interfaces
