A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions

Iqbal, Fatema-tuz-Zohra and Sidek, Khairul Azami and Noah, Nor Afifah and Gunawan, Teddy Surya (2014) A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions. In: IEEE International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA2014), 25-27 November 2014, Kuala Lumpur.

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Abstract

This paper performs a comparative analysis of QRS and Cardioid Graph Based ECG Biometric Recognition incorporating Physiological variability. Data was acquired from 30 subjects, where each subject performed six types of physical activities namely walking, going upstairs, going downstairs, natural gait, lying with position changed and resting while watching TV. Then from the signals of these physiological conditions specific features exclusive to each subject were extracted employing the Cardioid graph based model. In this model, features were extracted solely from the graph derived of the QRS complexes. Subjects were recognized with Multilayer Perceptron classification algorithm. Results were obtained through two approaches. Classification was performed on the whole dataset, Cardioid graph based method resulted in 96.4% of correctly classified instances, whereas QRS complex based ECG produced 94.7% accuracy rates. Later, sensitivity and specificity analysis was done to determine the robustness of the model which produced higher outcomes for Cardioid graph based technique of 96.4% and 99.9% respectively. These results suggest that subject identification in different physiological conditions with Cardioid graph based technique produces better classification rates than that of employing only QRS complexes.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Additional Information:	4698/40299
Uncontrolled Keywords:	biometric; ecg; Cardioid; QRS; different physiological conditions
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	29 Dec 2014 10:13
Last Modified:	19 Sep 2017 19:55
URI:	http://irep.iium.edu.my/id/eprint/40299

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