Abstract—This paper deals with the study and analysis of ECG signal processing by means of MATLAB tool effectively. Study of ECG signal includes generation & simulation of ECG signal, acquisition of real time ECG data, ECG signal filtering & processing, feature extraction, comparison between different ECG signal analysis algorithms & techniques (i.e. Wavlet transform or so), detection of any abnormalities in ECG, calculating beat rate and so on using the most familiar and multipurpose MATLAB software along with LABVIEW. The proper utilization of MATLAB functions (both built-in and user defined), toolbox and Simulink can lead us to work with ECG signals for processing and analysis both in real time and by simulation with great accuracy and convenience.

Index Terms—ECG signal processing; MATLAB; wavlet transform; ECG simulator; LABVIEW; FFT; simulink

M. K. Islam is with the Signal Processing and VLSI Lab, Dept. of ECE,NUS Singapore, Singapore 117576 (e-mail: kafiul_islam@nus.edu.sg).
A. N. M. M. Haque is with the Department of Sustainable Energy System,KTH - Kungliga Tekniska högskolan, Stockholm, Sweden (e-mail:anmmha@kth.se)
G. Tangim is with Department of Electrical and Computer Science,University of Calgary, Calgary, AB T2N 1N4 Canada. (e-mail:gtangim@ucalgary.ca).
M. R. H. Khondokar and is with the Department of Electrical and Electronic Engineering, The University of Melbourne (e-mail:udyc1087@yahoo.com).
T. Ahammad is with the Department of Electrical Engineering, Petroleum Institute, Abu Dhabi, United Arab Emirates (e-mail: tanvir52@yahoo.com)

Cite: M. K. Islam, A. N. M. M. Haque, G. Tangim, T. Ahammad, and M. R. H. Khondokar, "Study and Analysis of ECG Signal Using MATLAB & LABVIEW as Effective Tools," International Journal of Computer and Electrical Engineering vol. 4, no. 3, pp. 404-408, 2012.