DocumentCode :
2105131
Title :
Influence of QT correction on temporal and amplitude features for human identification via ECG
Author :
Sansone, M. ; Fratini, A. ; Cesarelli, M. ; Bifulco, P. ; Pepino, A. ; Romano, M. ; Gargiulo, F. ; Sansone, Carlo
Author_Institution :
Dept. of Electr. Eng. & Inf. Technol., Univ. Federico II of Naples, Naples, Italy
fYear :
2013
fDate :
9-9 Sept. 2013
Firstpage :
22
Lastpage :
27
Abstract :
Identification of humans via ECG is being increasingly studied because it can have several advantages over the traditional biometric identification techniques. However, difficulties arise because of the heartrate variability. In this study we analysed the influence of QT interval correction on the performance of an identification system based on temporal and amplitude features of ECG. In particular we tested MLP, Naive Bayes and 3-NN classifiers on the Fantasia database. Results indicate that QT correction can significantly improve the overall system performance.
Keywords :
Bayes methods; database management systems; electrocardiography; feature extraction; multilayer perceptrons; signal classification; 3-NN classifier; 3-nearest neighbour classifiers; ECG; Fantasia database; MLP; Naive Bayes classifier; QT interval correction; amplitude feature; heartrate variability; human identification system; multilayer perceptron classifier; temporal feature; Databases; Electrocardiography; Feature extraction; Heart beat; Heart rate variability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biometric Measurements and Systems for Security and Medical Applications (BIOMS), 2013 IEEE Workshop on
Conference_Location :
Naples
Print_ISBN :
978-1-4799-0625-3
Type :
conf
DOI :
10.1109/BIOMS.2013.6656144
Filename :
6656144
Link To Document :
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