Heart Sounds in Identity Recognition
In this thesis the applicability of advanced signal processing techniques to the status distinguishes using heart sound is first demonstrated. Two advanced signal processing techniques namely: algorithm of independent sub-band functions and the heart sound cycle frequency spectrogram. After analyzin...
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| creator | Cheng, Xie-feng Tao, Ye-wei Ma, Yong-hua Zhang, Zhong Yan, Reng-yi |
| description | In this thesis the applicability of advanced signal processing techniques to the status distinguishes using heart sound is first demonstrated. Two advanced signal processing techniques namely: algorithm of independent sub-band functions and the heart sound cycle frequency spectrogram. After analyzing the basic characteristics of heart sound signals, the characteristic parameters of heart sound human are extracted by algorithm of independent sub-band functions; identity recognition of single channel heart sound signal was achieved by setting up "S1-S2-CFS" recognition model and using pattern matching method of similarity coefficient. The final experiment results demonstrate that the new technology is better. |
| doi_str_mv | 10.1109/ICBBE.2010.5514809 |
| format | Conference Proceeding |
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The final experiment results demonstrate that the new technology is better.</description><subject>Acoustic signal processing</subject><subject>Algorithm design and analysis</subject><subject>Character recognition</subject><subject>Frequency</subject><subject>Heart</subject><subject>Pattern analysis</subject><subject>Pattern recognition</subject><subject>Signal analysis</subject><subject>Signal processing algorithms</subject><subject>Spectrogram</subject><issn>2151-7614</issn><issn>2151-7622</issn><isbn>9781424447121</isbn><isbn>1424447127</isbn><isbn>9781424447138</isbn><isbn>1424447135</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkEtLw0AURsdHwVrzB3SThdvUuTd3HndpQ20DhYKPdUkmMzKiiSRx0X_fgkVw9XE4cBafELcg5wCSH8pisVjOUR5ZKSAr-UwkbCwQEpGB3J6LKYKCzGjEi38O4fLPAU3ENUrJLBVYfSWSYfiQ8tg1zGym4n7tq35MX7qfthnS2KZl49sxjvv02bvuvY1j7NobMQnV5-CT087E29PytVhnm-2qLB43WQSjxkwF5ax1jgJBrXPljXHOGwiUWxtqdpXFhmWNQRu2qGvSdcPIoBQ2mlQ-E3e_3ei933338avq97vTAfkBl8NGHw</recordid><startdate>201006</startdate><enddate>201006</enddate><creator>Cheng, Xie-feng</creator><creator>Tao, Ye-wei</creator><creator>Ma, Yong-hua</creator><creator>Zhang, Zhong</creator><creator>Yan, Reng-yi</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201006</creationdate><title>Heart Sounds in Identity Recognition</title><author>Cheng, Xie-feng ; Tao, Ye-wei ; Ma, Yong-hua ; Zhang, Zhong ; Yan, Reng-yi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-5f5c88cc4f41b635e77cce71f4388fb9ca82d90b2f679826b46bd9291552d6453</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Acoustic signal processing</topic><topic>Algorithm design and analysis</topic><topic>Character recognition</topic><topic>Frequency</topic><topic>Heart</topic><topic>Pattern analysis</topic><topic>Pattern recognition</topic><topic>Signal analysis</topic><topic>Signal processing algorithms</topic><topic>Spectrogram</topic><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Xie-feng</creatorcontrib><creatorcontrib>Tao, Ye-wei</creatorcontrib><creatorcontrib>Ma, Yong-hua</creatorcontrib><creatorcontrib>Zhang, Zhong</creatorcontrib><creatorcontrib>Yan, Reng-yi</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>Cheng, Xie-feng</au><au>Tao, Ye-wei</au><au>Ma, Yong-hua</au><au>Zhang, Zhong</au><au>Yan, Reng-yi</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Heart Sounds in Identity Recognition</atitle><btitle>2010 4th International Conference on Bioinformatics and Biomedical Engineering</btitle><stitle>ICBBE</stitle><date>2010-06</date><risdate>2010</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2151-7614</issn><eissn>2151-7622</eissn><isbn>9781424447121</isbn><isbn>1424447127</isbn><eisbn>9781424447138</eisbn><eisbn>1424447135</eisbn><abstract>In this thesis the applicability of advanced signal processing techniques to the status distinguishes using heart sound is first demonstrated. Two advanced signal processing techniques namely: algorithm of independent sub-band functions and the heart sound cycle frequency spectrogram. After analyzing the basic characteristics of heart sound signals, the characteristic parameters of heart sound human are extracted by algorithm of independent sub-band functions; identity recognition of single channel heart sound signal was achieved by setting up "S1-S2-CFS" recognition model and using pattern matching method of similarity coefficient. The final experiment results demonstrate that the new technology is better.</abstract><pub>IEEE</pub><doi>10.1109/ICBBE.2010.5514809</doi><tpages>4</tpages></addata></record> |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Acoustic signal processing Algorithm design and analysis Character recognition Frequency Heart Pattern analysis Pattern recognition Signal analysis Signal processing algorithms Spectrogram |
| title | Heart Sounds in Identity Recognition |
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