Publication
Biometric recognition system using low bandwidth ECG signals
| dc.contributor.author | Matos, André Cigarro | |
| dc.contributor.author | Lourenço, André Ribeiro | |
| dc.contributor.author | Nascimento, Jose | |
| dc.date.accessioned | 2016-05-04T11:54:45Z | |
| dc.date.available | 2016-05-04T11:54:45Z | |
| dc.date.issued | 2013-10 | |
| dc.description.abstract | Biometric recognition has recently emerged as part of applications where the privacy of the information is crucial, as in the health care field. This paper presents a biometric recognition system based on the Electrocardiographic signal (ECG). The proposed system is based on a state-of-the-art recognition method which extracts information from the frequency domain. In this paper we propose a new method to increase the spectral resolution of low bandwidth ECG signals due to the limited bandwidth of the acquisition sensor. Preliminary results show that the proposed scheme reveals a higher identification rate and lower equal error rate when compared to previous approaches. | pt_PT |
| dc.identifier.citation | MATOS, André Cigarro; [et al] - Biometric recognition system using low bandwidth ECG signals. HEALTHCOM 2013 IEEE 15th International Conference on e-Health Networking, Applications Services. ISBN 978-1-4673-5801-9. 518-522, 2013 | pt_PT |
| dc.identifier.doi | 10.1109/HealthCom.2013.6720731 | pt_PT |
| dc.identifier.isbn | 978-1-4673-5801-9 | |
| dc.identifier.isbn | 978-1-4673-5800-2 | |
| dc.identifier.uri | http://hdl.handle.net/10400.21/6154 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | IEEE - Institute of Electrical and Electronics Engineers Inc. | pt_PT |
| dc.subject | Biometric recognition system | pt_PT |
| dc.subject | Electrocardiographic signal | pt_PT |
| dc.subject | Frequency domain | pt_PT |
| dc.subject | Information privacy | pt_PT |
| dc.subject | Low bandwidth ECG signals | pt_PT |
| dc.subject | Spectral resolution | pt_PT |
| dc.title | Biometric recognition system using low bandwidth ECG signals | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/PEst-OE%2FEEI%2FLA0008%2F2013/PT | |
| oaire.citation.endPage | 522 | pt_PT |
| oaire.citation.startPage | 518 | pt_PT |
| oaire.citation.title | HEALTHCOM 2013 IEEE 15th International Conference on e-Health Networking, Applications Services | pt_PT |
| oaire.fundingStream | 3599-PPCDT | |
| person.familyName | Nascimento | |
| person.givenName | Jose | |
| person.identifier.ciencia-id | 6912-6F61-1964 | |
| person.identifier.orcid | 0000-0002-5291-6147 | |
| person.identifier.rid | E-6212-2015 | |
| person.identifier.scopus-author-id | 55920018000 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | closedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | c7ffc6c0-1bdc-4f47-962a-a90dfb03073c | |
| relation.isAuthorOfPublication.latestForDiscovery | c7ffc6c0-1bdc-4f47-962a-a90dfb03073c | |
| relation.isProjectOfPublication | b1b33523-185c-469e-ae7f-a4f68458e770 | |
| relation.isProjectOfPublication.latestForDiscovery | b1b33523-185c-469e-ae7f-a4f68458e770 |
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