Analysis of Electrocardiograph (ECG) Signal for the Detection of Abnormalities Using MATLAB

The proposed method is to study and analyze Electrocardiograph (ECG) waveform to detect abnormalities present with reference to P, Q, R and S peaks. The first phase includes the acquisition of real time ECG data. In the next phase, generation of signals followed by pre-processing. Thirdly, the procured ECG signal is subjected to feature extraction. The extracted features detect abnormal peaks present in the waveform Thus the normal and abnormal ECG signal could be differentiated based on the features extracted. The work is implemented in the most familiar multipurpose tool, MATLAB. This software efficiently uses algorithms and techniques for detection of any abnormalities present in the ECG signal. Proper utilization of MATLAB functions (both built-in and user defined) can lead us to work with ECG signals for processing and analysis in real time applications. The simulation would help in improving the accuracy and the hardware could be built conveniently.

• Durgesh Kumar Ojha
• Monica Subashini

• ECG Waveform
• Peak Detection
• Arrhythmia
• Matlab.

[1] S. H. Kong, J. H. Correia, M. Bartek, R. F. Wolffenbuttel, Integrated Silicon Microspectrometers, IEEE Instrumentation & Measurement Magazine, Vol. 4, Nº3, pp. 34-38, September 2001.
[2] J. P. Carmo, and J. H. Correia, "RF CMOS Trasnsceiver at 2.4 GHz in Wearables for Measuring the Cardio-Respiratory Function", Measurement: Elsevier Science Direct, Vol. 44, pp.65-73, 2011.
[3] Minas, J. S. Martins, J. H. Correia, High-Selectivity Optical Detection in Microfluidic Systems for Clinical Diagnostics, Journal of Sensors and Materials, pp.77-89, Japan, 2002.
[4] J. H. Correia, Editorial Journal Sensors and Actuators A (Physical) Dedicated to Eurosensors XVII, Vol. 115, pp.177, Elsevier Science 2004.
[5] Joseph J. Carr and John M. Brown, "Introduction to Biomedical Equipment Technology”, Pearson Education Fourth Edition. ISBN: 81-7758-883-4.
[6] G. Minas, R. F. Wolffenbuttel, J.H. Correia, MCM-based Microlaboratory for Simultaneous Measurement of Several Biochemical Parameters by Spectrophotometry, Journal Biomedical Microdevices, Springer Science, IF=3.23, Nº12, pp.727-736, April 2010.