Digitisation of paper-ECG using column wise-median approach Online publication date: Mon, 20-Dec-2021
by Priyanka Gautam; Ramesh Kumar Sunkaria; Lakhan Dev Sharma
International Journal of Computer Applications in Technology (IJCAT), Vol. 66, No. 2, 2021
Abstract: Usually, electrocardiogram (ECG) signals are recorded on standard grid paper to determine the potential of cardiac disorder in hospitals. In a current technological era, existing records of paper-ECG are needed to convert into digital forms as it is the most effective technique to analyse, process, store and communicate attributes of ECG (features/quality, etc.) for clinical uses. The present work introduces a novel technique for the digitisation of paper-ECG (column-median approach). This paper uses correlation and heart rate as a validation parameter to validate the proposed methodology. To observe the precision of the proposed algorithm, the accuracy of the heart rate is also calculated. The overall correlation and percentage error carried out in 50 different signals are 0.86 and 0.79%, respectively. The overall accuracy obtained for 50 different ECG signals is 99.21%, which shows that the methodology works effectively.
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