Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm

Tahir  Zaidi; Muhammad Yaqub  Khan; Muhammad  Zia-ul-Hassan; Muhammad Hammad  Tariq; Bilal Ahmed  Bhatti; Muhammad  Umer

doi:10.4236/abb.2014.511103

Muhammad Umer, Bilal Ahmed Bhatti, Muhammad Hammad Tariq, Muhammad Zia-ul-Hassan, Muhammad Yaqub Khan, Tahir Zaidi

Abstract: This paper presents a Novel Windowing Algorithm for Electrocardiogram Feature Extraction and Pattern Recognition. The work presented here deals with a simple and efficient way of detecting ECG features that are P, Q, R, S and T waves. Windowing method is used to select these waves. Windows are based on varying R-R intervals. It has been tested on ECG simulator data and also on different records of the MIT-BIH arrhythmia database, producing satisfactory results. ECG timing intervals are also required for monitoring the cardiac condition of patients. Hence after feature detections ECG timing intervals like the PR interval, QRS duration, the QT interval, the QT corrected interval and Vent Rate are efficiently calculated using proposed Formulae.

Keywords: Electrocardiogram, PLI, Windowing, Arrhythmia, Intervals, Cardiac, PQRST

Cite this paper: Umer, M. , Bhatti, B. , Tariq, M. , Zia-ul-Hassan, M. , Khan, M. and Zaidi, T. (2014) Electrocardiogram Feature Extraction and Pattern Recognition Using a Novel Windowing Algorithm. Advances in Bioscience and Biotechnology, 5, 886-894. doi: 10.4236/abb.2014.511103.

References

[1] Razzaq, N., Butt, M., Salman, M., Ali, R., Sadiq, I., Munawar, K. and Zaidi, T. (2013) An Intelligent Adaptive Filter for Fast Tracking and Elimination of Power Line Interference from ECG Signal. 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), Porto, 20-22 June 2013, 251-256.

[2] Sagie, A., Larson, M.G., Goldberg, R.J., Bengston, J.R. and Levy, D. (1992) An Improved Method for Adjusting the QT Interval for Heart Rate (the Framingham Heart Study). American Journal of Cardiology, 70, 797-801.
http://dx.doi.org/10.1016/0002-9149(92)90562-D

[3] Bazett, H.C. (1920) An Analysis of the Time-Relations of Electrocardiograms. Heart, 7, 353-370.

[4] Mane, R.S., Cheeran, A.N., Awandekar, V.D. and Rani, P. (2013) Cardiac Arrhythmia Detection by ECG Feature Extraction. International Journal of Engineering Research and Applications, 3, 327-332.

[5] Vaneghi, F.M., Oladazimi, M., Shiman, F., Kordi, A., Safari, M.J. and Ibrahim, F. (2012) A Comparative Approach to ECG Feature Extraction Methods. Proceedings of 2012 3rd International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Kota Kinabalu, 8-10 February 2012, 252-256.
http://dx.doi.org/10.1109/ISMS.2012.35

[6] Mehta, S.S. and Lingayat, N.S. (2008) Detection of P and T-Waves in Electrocardiogram. Proceedings of the World Congress on Engineering and Computer Science, San Francisco, 22-24 October 2008, 22-24.

[7] Goldberger, A.L., Amaral, L.A.N., Glass, L., Hausdorff, J.M., Ivanov, P.C.H., Mark, R.G., Mietus, J.E., Moody, G.B., Peng, C.-K. and Stanley, H.E. (2000) PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation, 101, e215-e220.
http://circ.ahajournals.org/cgi/content/full/101/23/e215

[8] Razzaq, N., Butt, M., Salman, M., Ali, R., Sadiq, I., Munawar, K. and Zaidi, T. (2013) An Intelligent Adaptive Filter for Fast Tracking and Elimination of Power Line Interference from ECG Signal. 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), Porto, 20-22 June 2013, 251-256.

[9] Sagie, A., Larson, M.G., Goldberg, R.J., Bengston, J.R. and Levy, D. (1992) An Improved Method for Adjusting the QT Interval for Heart Rate (the Framingham Heart Study). American Journal of Cardiology, 70, 797-801.
http://dx.doi.org/10.1016/0002-9149(92)90562-D

[10] Bazett, H.C. (1920) An Analysis of the Time-Relations of Electrocardiograms. Heart, 7, 353-370.

[11] Mane, R.S., Cheeran, A.N., Awandekar, V.D. and Rani, P. (2013) Cardiac Arrhythmia Detection by ECG Feature Extraction. International Journal of Engineering Research and Applications, 3, 327-332.

[12] Vaneghi, F.M., Oladazimi, M., Shiman, F., Kordi, A., Safari, M.J. and Ibrahim, F. (2012) A Comparative Approach to ECG Feature Extraction Methods. Proceedings of 2012 3rd International Conference on Intelligent Systems, Modelling and Simulation (ISMS), Kota Kinabalu, 8-10 February 2012, 252-256. http://dx.doi.org/10.1109/ISMS.2012.35

[13] Mehta, S.S. and Lingayat, N.S. (2008) Detection of P and T-Waves in Electrocardiogram. Proceedings of the World Congress on Engineering and Computer Science, San Francisco, 22-24 October 2008, 22-24.

[14] Goldberger, A.L., Amaral, L.A.N., Glass, L., Hausdorff, J.M., Ivanov, P.C.H., Mark, R.G., Mietus, J.E., Moody, G.B., Peng, C.-K. and Stanley, H.E. (2000) PhysioBank, PhysioToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation, 101, e215-e220.
http://circ.ahajournals.org/cgi/content/full/101/23/e215