A wavelet method for biometric identification using wearable ECG sensors
This paper reports a new signal processing method for biometric identification purposes that utilizes signals collected from a cost-effective wearable electro-cardiogram (ECG) sensor. In this method, raw ECG signals were first prepared in the time domain and then decomposed into a structure of coeff...
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| creator | Jianchu Yao Yongbo Wan |
| description | This paper reports a new signal processing method for biometric identification purposes that utilizes signals collected from a cost-effective wearable electro-cardiogram (ECG) sensor. In this method, raw ECG signals were first prepared in the time domain and then decomposed into a structure of coefficients using wavelet algorithms. This coefficient structure was further extended to a coefficient matrix, whose principle components were used as discriminant quantities to identify individual subjects. In our research, 47 datasets collected from 20 subjects were used to test the method. Results demonstrate that this identification method is effective. |
| doi_str_mv | 10.1109/ISSMDBS.2008.4575078 |
| format | Conference Proceeding |
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Results demonstrate that this identification method is effective.</description><subject>Biomedical signal processing</subject><subject>Biometrics</subject><subject>Biosensors</subject><subject>Coefficient structure</subject><subject>electrocardiogram</subject><subject>Electrocardiography</subject><subject>Matrix decomposition</subject><subject>principle component</subject><subject>Signal processing</subject><subject>Signal processing algorithms</subject><subject>Testing</subject><subject>wavelet decomposition</subject><subject>Wavelet domain</subject><subject>Wearable sensors</subject><isbn>9781424422524</isbn><isbn>1424422523</isbn><isbn>9781424422531</isbn><isbn>1424422531</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkM1Kw0AcxFekoNY8gR72BRL3e7PHGmtbqHhI72U3-a-upInsRotvb4q9OJdhYBh-DEL3lBSUEvOwqeuXp8e6YISUhZBaEl1eoMzokgomBGOS08t_mYkZujnVDaFGySuUpfRBJgnJS6Wv0XqBj_YbOhjxAcb3ocV-iNiFYUoxNDi00I_Bh8aOYejxVwr9Gz6CjdZ1gJfVCifo0xDTLZp52yXIzj5Hu-flrlrn29fVplps82DImHOnBGHMKa8Nd7qRzkhVUm-I9EK0YBXVRLT8BKeBOe8bMbEbTjh4Jw2fo7u_2QAA-88YDjb-7M9f8F822lAT</recordid><startdate>200806</startdate><enddate>200806</enddate><creator>Jianchu Yao</creator><creator>Yongbo Wan</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200806</creationdate><title>A wavelet method for biometric identification using wearable ECG sensors</title><author>Jianchu Yao ; Yongbo Wan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-3b64022b6f793b7c5b95681f905f44dea61704d338677e2bffc48909303efb593</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Biomedical signal processing</topic><topic>Biometrics</topic><topic>Biosensors</topic><topic>Coefficient structure</topic><topic>electrocardiogram</topic><topic>Electrocardiography</topic><topic>Matrix decomposition</topic><topic>principle component</topic><topic>Signal processing</topic><topic>Signal processing algorithms</topic><topic>Testing</topic><topic>wavelet decomposition</topic><topic>Wavelet domain</topic><topic>Wearable sensors</topic><toplevel>online_resources</toplevel><creatorcontrib>Jianchu Yao</creatorcontrib><creatorcontrib>Yongbo Wan</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>Jianchu Yao</au><au>Yongbo Wan</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A wavelet method for biometric identification using wearable ECG sensors</atitle><btitle>2008 5th International Summer School and Symposium on Medical Devices and Biosensors</btitle><stitle>ISSMDBS</stitle><date>2008-06</date><risdate>2008</risdate><spage>297</spage><epage>300</epage><pages>297-300</pages><isbn>9781424422524</isbn><isbn>1424422523</isbn><eisbn>9781424422531</eisbn><eisbn>1424422531</eisbn><abstract>This paper reports a new signal processing method for biometric identification purposes that utilizes signals collected from a cost-effective wearable electro-cardiogram (ECG) sensor. In this method, raw ECG signals were first prepared in the time domain and then decomposed into a structure of coefficients using wavelet algorithms. This coefficient structure was further extended to a coefficient matrix, whose principle components were used as discriminant quantities to identify individual subjects. In our research, 47 datasets collected from 20 subjects were used to test the method. Results demonstrate that this identification method is effective.</abstract><pub>IEEE</pub><doi>10.1109/ISSMDBS.2008.4575078</doi><tpages>4</tpages></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Biomedical signal processing Biometrics Biosensors Coefficient structure electrocardiogram Electrocardiography Matrix decomposition principle component Signal processing Signal processing algorithms Testing wavelet decomposition Wavelet domain Wearable sensors |
| title | A wavelet method for biometric identification using wearable ECG sensors |
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