Title :
Effects of diseased ECG on the robustness of ECG biometric systems
Author :
Loong, Justin Leo Cheang ; Swee, Sim Kok ; Bear, Rosli ; Subari, Khazaimatol S. ; Abdullah, Muhammad Kamil
Author_Institution :
Fac. of Eng. & Technol., Multimedia Univ., Ayer Keroh, Malaysia
fDate :
Nov. 30 2010-Dec. 2 2010
Abstract :
This paper looks into the effects of diseased subjects on the recognition rate of an ECG biometric system. A novel technique for feature extraction, linear predictive coding, is implemented along with neural networks for the classifier. Diseased ECG has been shown reduce the recognition rate of the system by only less than 1% and thus the system is robust towards diseased ECG. This allows for the system incorporating linear predictive coding to be used in practical situations where some users may not be aware of their health state and may have diseased ECG signals.
Keywords :
biometrics (access control); diseases; electrocardiography; feature extraction; linear predictive coding; medical signal processing; neural nets; signal classification; ECG biometric system recognition rate; ECG biometric system robustness; diseased ECG effects; diseased ECG signals; feature extraction; linear predictive coding; neural network classifier; Artificial neural networks; Diseases; Electrocardiography; Feature extraction; Humans; Security; Training; ECG; biometrics; disease; human identification;
Conference_Titel :
Biomedical Engineering and Sciences (IECBES), 2010 IEEE EMBS Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7599-5
DOI :
10.1109/IECBES.2010.5742250
