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General Information
    • ISSN: 2010-3719
    • Frequency: Bimonthly
    • DOI: 10.18178/IJIEE
    • Editor-in-Chief: Prof. Chandratilak De Silva Liyanage
    • Associate Executive Editor: Ms. Jennifer Zeng
    • Executive Editor: Mr. Ron C. Wu
    • Abstracting/ Indexing : Google Scholar, Electronic Journals Library, Crossref and ProQuest, Ei (INSPEC, IET).
    • E-mail ijiee@ejournal.net

Faculty of Science, University of Brunei Darussalam, Brunei Darussalam   
" It is a great honor to serve as the editor-in-chief of IJIEE. I'll work together with the editorial team. Hopefully, IJIEE will be recognized among the readers in the related field."
IJIEE 2015 Vol.5(4): 311-316 ISSN: 2010-3719
DOI: 10.7763/IJIEE.2015.V5.550

Heart Rate Monitoring and PQRST Detection Based on Graphical User Interface with Matlab

Hussain A. Jaber AL-Ziarjawey and Ilyas Çankaya
Abstract— An electrocardiogram (ECG/EKG) is an electrical recording of the heart and is used in the investigation of heart disease. This electrical activity of the heart translates into line tracings on paper. The spikes and dips in the line tracings are called series of waves. This series of waves consists of six different waveforms, are discernible, and are differentiated as P, Q, R, S, T and U. The most of earlier method of ECG signal analysis for detecting PQRST was based on DSP technique for example (Wavelet Transform and Fast Fourier Transform) and Artificial Neural networks. While this work proposes a simple and dependable method to detect the P, Q, R, S and T values of an electrocardiogram (ECG) signal. This method is based on finding a mathematical relationship between the highest values (peaks and valleys) of the ECG waveform and time. In this proposed method is exemplified by designing a graphical user Interface (GUI) by using MATLAB for detecting PQRST by using simple mathematical algorithm to get PQRST values and draw these values on ECG wave at the same time. This program will be devoted to the purposes of scientific research instead of clinical diagnosis.

Index Terms— GUI with MATLAB, QRS complex analysis, heart rate detection, ECG leads, ECG extraction and methods.

The authors are with the Yildrim Beyazit University-Institute of Science & Technology-Ankara, Turkey (e-mail: hussainjaber2000@yahoo.com, icankaya@ybu.edu.tr).


Cite: Hussain A. Jaber AL-Ziarjawey and Ilyas Çankaya, " Heart Rate Monitoring and PQRST Detection Based on Graphical User Interface with Matlab," International Journal of Information and Electronics Engineering vol. 5, no. 4, pp. 311-316, 2015.

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