Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/10285
Title: | Bipolar Pulse Active Features for ECG Biometric Application |
Authors: | Sairul Safie M I Yusof Kushsairy Kadir Haidawati Nasir (UniKL MITEC) |
Issue Date: | 30-Jun-2015 |
Abstract: | This paper introduce a new Bipolar Pulse Active (BPA) feature extraction technique implemented to electrocardiograms (ECG) for biometric authentication. . The BPA extracts information from ECG signals and decomposes them, using a series of harmonically related periodic triangular waveforms, into a finite set of Pulse Domain features. In this work, BPA is used to compare the performance of ECG when the information taken from 3 different locations, namely peaks P to T, peaks P to R and peaks R to T. The authentication performance is analysed with and without the use of classifier. In this work, Linear Discriminant Analysis (LDA) is used a classifier to evaluate the BPA ECG based features for biometric authentication. |
Description: | Conference Venue: GRAND SEASONS HOTEL, KUALA LUMPUR |
URI: | http://localhost/xmlui/handle/123456789/10285 |
Appears in Collections: | Conference Paper |
Files in This Item:
File | Description | Size | Format | |
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Bipolar Pulse Active Features for ECG Biometric.pdf | Bipolar Pulse Active Features for ECG Biometric Application | 1.57 MB | Adobe PDF | View/Open Request a copy |
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