Design of portalble 12 leads automated ECG analyzer using 68000 MPU
This paper describes the hardware/software design of an automated ECG analyzer in order to precisely measure and analyze waveforms of standard 12 leads for classification of disease. The analysis results and ECG waveforms are printed on the thermal printer. Under this hardware framework the peak det...
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creator | Hyukje Kweon Byungchae Lee Myoungho Lee |
description | This paper describes the hardware/software design of an automated ECG analyzer in order to precisely measure and analyze waveforms of standard 12 leads for classification of disease. The analysis results and ECG waveforms are printed on the thermal printer. Under this hardware framework the peak detection and diagnosis programs are implemented using pattern recognition and Minnesota diagnosis criteria. Especially this paper focuses on the prototype system hardware which can diagnose the heart desease without medical expert's helping and can involve various diagnosis algorithms. |
doi_str_mv | 10.1109/IEMBS.1992.5761775 |
format | Conference Proceeding |
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The analysis results and ECG waveforms are printed on the thermal printer. Under this hardware framework the peak detection and diagnosis programs are implemented using pattern recognition and Minnesota diagnosis criteria. Especially this paper focuses on the prototype system hardware which can diagnose the heart desease without medical expert's helping and can involve various diagnosis algorithms.</description><identifier>ISBN: 0780307852</identifier><identifier>ISBN: 9780780307858</identifier><identifier>EISBN: 0780308166</identifier><identifier>EISBN: 9780780308169</identifier><identifier>DOI: 10.1109/IEMBS.1992.5761775</identifier><language>eng</language><publisher>IEEE</publisher><subject>Biomedical monitoring ; Electrocardiography ; Hardware ; Heart ; Lead ; Monitoring ; Personnel</subject><ispartof>1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992, Vol.3, p.1263-1264</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5761775$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2057,27924,54919</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5761775$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hyukje Kweon</creatorcontrib><creatorcontrib>Byungchae Lee</creatorcontrib><creatorcontrib>Myoungho Lee</creatorcontrib><title>Design of portalble 12 leads automated ECG analyzer using 68000 MPU</title><title>1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>IEMBS</addtitle><description>This paper describes the hardware/software design of an automated ECG analyzer in order to precisely measure and analyze waveforms of standard 12 leads for classification of disease. The analysis results and ECG waveforms are printed on the thermal printer. Under this hardware framework the peak detection and diagnosis programs are implemented using pattern recognition and Minnesota diagnosis criteria. Especially this paper focuses on the prototype system hardware which can diagnose the heart desease without medical expert's helping and can involve various diagnosis algorithms.</description><subject>Biomedical monitoring</subject><subject>Electrocardiography</subject><subject>Hardware</subject><subject>Heart</subject><subject>Lead</subject><subject>Monitoring</subject><subject>Personnel</subject><isbn>0780307852</isbn><isbn>9780780307858</isbn><isbn>0780308166</isbn><isbn>9780780308169</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1992</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j81Kw0AUhUdEUGtfQDfzAokzN87fUmNaCy0K1nW5k7lTImlTMumiPr0B69kczrf44DB2L0UupXCPi2r18plL5yBXRktj1AW7FcaKQlip9eX_MFbBNZum9C3GKGXB6BtWvlJqtnveRX7o-gFb3xKXwFvCkDgeh26HAwVelXOOe2xPP9TzY2r2W67t6OGrj687dhWxTTQ994StZ9W6fMuW7_NF-bzMGieGTIGL4J5A2RjAiwhkDdaFl8pr49DZWtdBj1CTd06qgFpYA0IGChC9KCbs4U_bENHm0Dc77E-b8-fiF7elSJo</recordid><startdate>199210</startdate><enddate>199210</enddate><creator>Hyukje Kweon</creator><creator>Byungchae Lee</creator><creator>Myoungho Lee</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>199210</creationdate><title>Design of portalble 12 leads automated ECG analyzer using 68000 MPU</title><author>Hyukje Kweon ; Byungchae Lee ; Myoungho Lee</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-529f294258fd2b0f2e87ac3b15b679a98c6cd6e876eb9915da6087201ded2fb03</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1992</creationdate><topic>Biomedical monitoring</topic><topic>Electrocardiography</topic><topic>Hardware</topic><topic>Heart</topic><topic>Lead</topic><topic>Monitoring</topic><topic>Personnel</topic><toplevel>online_resources</toplevel><creatorcontrib>Hyukje Kweon</creatorcontrib><creatorcontrib>Byungchae Lee</creatorcontrib><creatorcontrib>Myoungho Lee</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hyukje Kweon</au><au>Byungchae Lee</au><au>Myoungho Lee</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Design of portalble 12 leads automated ECG analyzer using 68000 MPU</atitle><btitle>1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society</btitle><stitle>IEMBS</stitle><date>1992-10</date><risdate>1992</risdate><volume>3</volume><spage>1263</spage><epage>1264</epage><pages>1263-1264</pages><isbn>0780307852</isbn><isbn>9780780307858</isbn><eisbn>0780308166</eisbn><eisbn>9780780308169</eisbn><abstract>This paper describes the hardware/software design of an automated ECG analyzer in order to precisely measure and analyze waveforms of standard 12 leads for classification of disease. The analysis results and ECG waveforms are printed on the thermal printer. Under this hardware framework the peak detection and diagnosis programs are implemented using pattern recognition and Minnesota diagnosis criteria. Especially this paper focuses on the prototype system hardware which can diagnose the heart desease without medical expert's helping and can involve various diagnosis algorithms.</abstract><pub>IEEE</pub><doi>10.1109/IEMBS.1992.5761775</doi><tpages>2</tpages></addata></record> |
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identifier | ISBN: 0780307852 |
ispartof | 1992 14th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1992, Vol.3, p.1263-1264 |
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language | eng |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Biomedical monitoring Electrocardiography Hardware Heart Lead Monitoring Personnel |
title | Design of portalble 12 leads automated ECG analyzer using 68000 MPU |
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