TY - JFULL AU - I. L. Ahmad and M. Mohamed and N. A. Ab. Ghani PY - 2012/9/ TI - An Improved QRS Complex Detection for Online Medical Diagnosis T2 - International Journal of Biomedical and Biological Engineering SP - 389 EP - 393 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/12150 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 68, 2012 N2 - 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. ER -