Biometric Identification System Based on Electrocardiogram Data
Recent advancements in computing and digital signal processing technologies have made automated identification of people based on their biological, physiological, or behavioral traits a feasible approach for access control. The wide variety of available technologies has also increased the number of...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 5 |
|---|---|
| container_issue | |
| container_start_page | 1 |
| container_title | |
| container_volume | |
| creator | Gahi, Y. Lamrani, M. Zoglat, A. Guennoun, M. Kapralos, B. El-Khatib, K. |
| description | Recent advancements in computing and digital signal processing technologies have made automated identification of people based on their biological, physiological, or behavioral traits a feasible approach for access control. The wide variety of available technologies has also increased the number of traits and features that can be collected and used to more accurately identify people. Systems that use biological, physiological, or behavioral trait to grant access to resources are called biometric systems. In this paper we present a biometric identification system based on the Electrocardiogram (ECG) signal. The system extracts 24 temporal and amplitude features from an ECG signal and after processing, reduces the set of features to the nine most relevant features. Preliminary experimental results indicate that the system is accurate and robust and can achieve a 100% identification rate with the reduced set of features. |
| doi_str_mv | 10.1109/NTMS.2008.ECP.29 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_4689083</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>4689083</ieee_id><sourcerecordid>4689083</sourcerecordid><originalsourceid>FETCH-LOGICAL-i1329-375d947fb704385237352a7328a563ffde0e43525e6ae2fe3b4d7c65a5cbdba83</originalsourceid><addsrcrecordid>eNotjM9LwzAYQAMqOGbvgpf-A61JvqRJTuJmp4P5AzbP42vzRSLrKmku--8d6Onx3uExdit4LQR392-7120tObd1u_yopbtghTNWOg1SKeDqks2k0KZSTstrVkzTN-cchLXSmhl7WMRxoJxiX649HXMMscccx2O5PU2ZhnKBE_ny7O2B-pzGHpOP41fCoXzCjDfsKuBhouKfc_a5anfLl2rz_rxePm6qKEC6Coz2TpnQGa7AagkGtEQD0qJuIARPnNQ5aWqQZCDolDd9o1H3ne_Qwpzd_X0jEe1_UhwwnfaqsY5bgF8VXEmr</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Biometric Identification System Based on Electrocardiogram Data</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Gahi, Y. ; Lamrani, M. ; Zoglat, A. ; Guennoun, M. ; Kapralos, B. ; El-Khatib, K.</creator><creatorcontrib>Gahi, Y. ; Lamrani, M. ; Zoglat, A. ; Guennoun, M. ; Kapralos, B. ; El-Khatib, K.</creatorcontrib><description>Recent advancements in computing and digital signal processing technologies have made automated identification of people based on their biological, physiological, or behavioral traits a feasible approach for access control. The wide variety of available technologies has also increased the number of traits and features that can be collected and used to more accurately identify people. Systems that use biological, physiological, or behavioral trait to grant access to resources are called biometric systems. In this paper we present a biometric identification system based on the Electrocardiogram (ECG) signal. The system extracts 24 temporal and amplitude features from an ECG signal and after processing, reduces the set of features to the nine most relevant features. Preliminary experimental results indicate that the system is accurate and robust and can achieve a 100% identification rate with the reduced set of features.</description><identifier>ISSN: 2157-4952</identifier><identifier>ISBN: 9782953244304</identifier><identifier>ISBN: 1424435471</identifier><identifier>ISBN: 9781424435470</identifier><identifier>ISBN: 2953244301</identifier><identifier>DOI: 10.1109/NTMS.2008.ECP.29</identifier><language>eng</language><publisher>IEEE</publisher><subject>Access control ; Biology computing ; Biomedical signal processing ; Biometrics ; Digital signal processing ; Electrocardiography ; Heart ; Humans ; Signal processing ; Surgery</subject><ispartof>2008 New Technologies, Mobility and Security, 2008, p.1-5</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4689083$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4689083$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Gahi, Y.</creatorcontrib><creatorcontrib>Lamrani, M.</creatorcontrib><creatorcontrib>Zoglat, A.</creatorcontrib><creatorcontrib>Guennoun, M.</creatorcontrib><creatorcontrib>Kapralos, B.</creatorcontrib><creatorcontrib>El-Khatib, K.</creatorcontrib><title>Biometric Identification System Based on Electrocardiogram Data</title><title>2008 New Technologies, Mobility and Security</title><addtitle>NTMS</addtitle><description>Recent advancements in computing and digital signal processing technologies have made automated identification of people based on their biological, physiological, or behavioral traits a feasible approach for access control. The wide variety of available technologies has also increased the number of traits and features that can be collected and used to more accurately identify people. Systems that use biological, physiological, or behavioral trait to grant access to resources are called biometric systems. In this paper we present a biometric identification system based on the Electrocardiogram (ECG) signal. The system extracts 24 temporal and amplitude features from an ECG signal and after processing, reduces the set of features to the nine most relevant features. Preliminary experimental results indicate that the system is accurate and robust and can achieve a 100% identification rate with the reduced set of features.</description><subject>Access control</subject><subject>Biology computing</subject><subject>Biomedical signal processing</subject><subject>Biometrics</subject><subject>Digital signal processing</subject><subject>Electrocardiography</subject><subject>Heart</subject><subject>Humans</subject><subject>Signal processing</subject><subject>Surgery</subject><issn>2157-4952</issn><isbn>9782953244304</isbn><isbn>1424435471</isbn><isbn>9781424435470</isbn><isbn>2953244301</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjM9LwzAYQAMqOGbvgpf-A61JvqRJTuJmp4P5AzbP42vzRSLrKmku--8d6Onx3uExdit4LQR392-7120tObd1u_yopbtghTNWOg1SKeDqks2k0KZSTstrVkzTN-cchLXSmhl7WMRxoJxiX649HXMMscccx2O5PU2ZhnKBE_ny7O2B-pzGHpOP41fCoXzCjDfsKuBhouKfc_a5anfLl2rz_rxePm6qKEC6Coz2TpnQGa7AagkGtEQD0qJuIARPnNQ5aWqQZCDolDd9o1H3ne_Qwpzd_X0jEe1_UhwwnfaqsY5bgF8VXEmr</recordid><startdate>200811</startdate><enddate>200811</enddate><creator>Gahi, Y.</creator><creator>Lamrani, M.</creator><creator>Zoglat, A.</creator><creator>Guennoun, M.</creator><creator>Kapralos, B.</creator><creator>El-Khatib, K.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200811</creationdate><title>Biometric Identification System Based on Electrocardiogram Data</title><author>Gahi, Y. ; Lamrani, M. ; Zoglat, A. ; Guennoun, M. ; Kapralos, B. ; El-Khatib, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i1329-375d947fb704385237352a7328a563ffde0e43525e6ae2fe3b4d7c65a5cbdba83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Access control</topic><topic>Biology computing</topic><topic>Biomedical signal processing</topic><topic>Biometrics</topic><topic>Digital signal processing</topic><topic>Electrocardiography</topic><topic>Heart</topic><topic>Humans</topic><topic>Signal processing</topic><topic>Surgery</topic><toplevel>online_resources</toplevel><creatorcontrib>Gahi, Y.</creatorcontrib><creatorcontrib>Lamrani, M.</creatorcontrib><creatorcontrib>Zoglat, A.</creatorcontrib><creatorcontrib>Guennoun, M.</creatorcontrib><creatorcontrib>Kapralos, B.</creatorcontrib><creatorcontrib>El-Khatib, K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Gahi, Y.</au><au>Lamrani, M.</au><au>Zoglat, A.</au><au>Guennoun, M.</au><au>Kapralos, B.</au><au>El-Khatib, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Biometric Identification System Based on Electrocardiogram Data</atitle><btitle>2008 New Technologies, Mobility and Security</btitle><stitle>NTMS</stitle><date>2008-11</date><risdate>2008</risdate><spage>1</spage><epage>5</epage><pages>1-5</pages><issn>2157-4952</issn><isbn>9782953244304</isbn><isbn>1424435471</isbn><isbn>9781424435470</isbn><isbn>2953244301</isbn><abstract>Recent advancements in computing and digital signal processing technologies have made automated identification of people based on their biological, physiological, or behavioral traits a feasible approach for access control. The wide variety of available technologies has also increased the number of traits and features that can be collected and used to more accurately identify people. Systems that use biological, physiological, or behavioral trait to grant access to resources are called biometric systems. In this paper we present a biometric identification system based on the Electrocardiogram (ECG) signal. The system extracts 24 temporal and amplitude features from an ECG signal and after processing, reduces the set of features to the nine most relevant features. Preliminary experimental results indicate that the system is accurate and robust and can achieve a 100% identification rate with the reduced set of features.</abstract><pub>IEEE</pub><doi>10.1109/NTMS.2008.ECP.29</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 2157-4952 |
| ispartof | 2008 New Technologies, Mobility and Security, 2008, p.1-5 |
| issn | 2157-4952 |
| language | eng |
| recordid | cdi_ieee_primary_4689083 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Access control Biology computing Biomedical signal processing Biometrics Digital signal processing Electrocardiography Heart Humans Signal processing Surgery |
| title | Biometric Identification System Based on Electrocardiogram Data |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-13T07%3A54%3A38IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=Biometric%20Identification%20System%20Based%20on%20Electrocardiogram%20Data&rft.btitle=2008%20New%20Technologies,%20Mobility%20and%20Security&rft.au=Gahi,%20Y.&rft.date=2008-11&rft.spage=1&rft.epage=5&rft.pages=1-5&rft.issn=2157-4952&rft.isbn=9782953244304&rft.isbn_list=1424435471&rft.isbn_list=9781424435470&rft.isbn_list=2953244301&rft_id=info:doi/10.1109/NTMS.2008.ECP.29&rft_dat=%3Cieee_6IE%3E4689083%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=4689083&rfr_iscdi=true |