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Springer, Berlin, Heidelberg

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10.1007/s004170000244

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NN-Based R-peak Detection in QRS Complex of ECG Signal

Authors: Muhammad Asraful Hasan, M. I. Ibrahimy, M. B. I. Reaz,

Publish Date: 2008
Volume: , Issue:, Pages: 217-220
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Abstract

eural Network (NN) is designed to detect QRS complex from ECG signal. QRS complex detection is essential so that RR-interval can be measured for disease classification and can also be monitoring the heart rate. In this paper, a supervised Neural Network based algorithm has been used to detect R in QRS complex. It was tried to find out the R-peak in QRS complex with missing peak and false peak as well, so that the correct decision can be made by the physician and clinician. The accuracy of finding the R-peak by using the Neural Network was 99.09% averagely and the average percentage of missing and false peak was 00.09%. The technique appears to be exceedingly robust, correctly detects R-peaks even aberrant QRS complexes in noise-corrupted ECGs.


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