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An improved QRS complex detection for online medical diagnosis

Ahmad, I. L. and Mohamed, M. and Ab. Ghani, N. A. (2012) An improved QRS complex detection for online medical diagnosis. In: World Academy of Science, Engineering and Technology (WASET 2012).

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This paper presents the work of signal discrimination specifically for Electrocardiogram (ECG) waveform. ECG signal is comprised of P, QRS, and T waves in each normal heart beat to describe the pattern of heart rhythms corresponds to a specific individual. Further medical diagnosis could be done to determine any heart related disease using ECG information. The emphasis on QRS Complex classification is further discussed to illustrate the importance of it. Pan-Tompkins Algorithm, a widely known technique has been adapted to realize the QRS Complex classification process. There are eight steps involved namely sampling, normalization, low pass filter, high pass filter (build a band pass filter), derivation, squaring, averaging and lastly is the QRS detection. The simulation results obtained is represented in a Graphical User Interface (GUI) developed using MATLAB.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: ECG; Pan Tompkins algorithm; QRS complex; simulation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Faculty of Electrical and Electronic Engineering > Department of Electronic Engineering
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 25 Sep 2018 08:20
Last Modified: 25 Sep 2018 08:20
URI: http://eprints.uthm.edu.my/id/eprint/10381
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