Bipolar Pulse Active Features for ECG Biometric Application
Conference Venue: GRAND SEASONS HOTEL, KUALA LUMPUR
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2015
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| Institution: | Universiti Kuala Lumpur |
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my.unikl.ir-102852015-07-27T23:20:08Z Bipolar Pulse Active Features for ECG Biometric Application Sairul Safie M I Yusof Kushsairy Kadir Haidawati Nasir (UniKL MITEC) Conference Venue: GRAND SEASONS HOTEL, KUALA LUMPUR 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. 2015-06-30T05:19:55Z 2015-06-30T05:19:55Z 2015-06-30 http://localhost/xmlui/handle/123456789/10285 |
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| description |
Conference Venue: GRAND SEASONS HOTEL, KUALA LUMPUR |
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| author |
Sairul Safie M I Yusof Kushsairy Kadir Haidawati Nasir (UniKL MITEC) |
| spellingShingle |
Sairul Safie M I Yusof Kushsairy Kadir Haidawati Nasir (UniKL MITEC) Bipolar Pulse Active Features for ECG Biometric Application |
| author_facet |
Sairul Safie M I Yusof Kushsairy Kadir Haidawati Nasir (UniKL MITEC) |
| author_sort |
Sairul Safie |
| title |
Bipolar Pulse Active Features for ECG Biometric Application |
| title_short |
Bipolar Pulse Active Features for ECG Biometric Application |
| title_full |
Bipolar Pulse Active Features for ECG Biometric Application |
| title_fullStr |
Bipolar Pulse Active Features for ECG Biometric Application |
| title_full_unstemmed |
Bipolar Pulse Active Features for ECG Biometric Application |
| title_sort |
bipolar pulse active features for ecg biometric application |
| publishDate |
2015 |
| url |
http://localhost/xmlui/handle/123456789/10285 |
| _version_ |
1644485142334406656 |