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http://hdl.handle.net/123456789/10285
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DC Field | Value | Language |
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dc.contributor.author | Sairul Safie | - |
dc.contributor.author | M I Yusof | - |
dc.contributor.author | Kushsairy Kadir | - |
dc.contributor.author | Haidawati Nasir | - |
dc.contributor.author | (UniKL MITEC) | - |
dc.date.accessioned | 2015-06-30T05:19:55Z | - |
dc.date.available | 2015-06-30T05:19:55Z | - |
dc.date.issued | 2015-06-30 | - |
dc.identifier.uri | http://localhost/xmlui/handle/123456789/10285 | - |
dc.description | Conference Venue: GRAND SEASONS HOTEL, KUALA LUMPUR | en_US |
dc.description.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. | en_US |
dc.title | Bipolar Pulse Active Features for ECG Biometric Application | en_US |
dc.conference.name | 2015 INTERNATIONAL CONFERENCE ON BIOSIGNAL ANALYSIS, PROCESSING AND SYSTEM (ICBAPS) | en_US |
dc.conference.year | 2015 | en_US |
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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