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An approach to detect QRS complex using backpropagation neural network

Reaz, Mamun Bin Ibne and Ibrahimy, Muhammad Ibn and Ab Rahim, Rosminazuin (2006) An approach to detect QRS complex using backpropagation neural network. In: 7th WSEAS International Conference on Neural Networks, 12-14 June, 2006, Cavtat, Croatia.

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Backpropagation Neural Network is used to learn the characteristics of R peak to detect QRS complex. This allows R peak to be differentiated from large peaked T and P waves with higher accuracy and minimizes the problem associated with the noises in the ECG signal includes power line interference, motion artifacts, baseline drift, ECG amplitude modulation and other composite noises. The features that trains the network includes amplitude, differentiation value, duration exceed threshold, RR interval and crossing-zero. The performance was tested and resulting in accuracy to detect the correct positive peak was 91.16%.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 4637/36663
Uncontrolled Keywords: Backpropagation, QRS Complex, ECG Signal
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Muhammad Ibrahimy
Date Deposited: 21 May 2014 16:20
Last Modified: 21 May 2014 16:20
URI: http://irep.iium.edu.my/id/eprint/36663

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