Difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis
The invention discloses a difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis. The method comprises the following steps: a), preprocessing; b), finding out the positive R wave position and the negative Q or S wave (or QS) position; c), perfor...
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| creator | YANG ZHI FU LINGJIAN GU LINYUE SUN BIN |
| description | The invention discloses a difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis. The method comprises the following steps: a), preprocessing; b), finding out the positive R wave position and the negative Q or S wave (or QS) position; c), performing comparison to preliminarily determining the positions of the main waves; d), performing calibration to determine the positions of the main waves. Inner correlation between leads is considered, and a clustering method is utilized for identifying and positioning the positions of the difficult electrocardiogram main waves; the method is easy to understand and implement and higher in positioning precision.
本发明公开了一种基于多导联聚类分析的疑难心电图主波识别定位方法，包括：a)预处理；b)找出正向R波位置及负向的Q或S波(或QS)位置；c)比较，初步定出主波位置；d)校准，确定主波位置。本发明通过考虑导联之间的内在相关性，利用聚类方法对疑难心电图主波位置进行了识别定位，易于理解，容易实现，定位精度较高。 |
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本发明公开了一种基于多导联聚类分析的疑难心电图主波识别定位方法，包括：a)预处理；b)找出正向R波位置及负向的Q或S波(或QS)位置；c)比较，初步定出主波位置；d)校准，确定主波位置。本发明通过考虑导联之间的内在相关性，利用聚类方法对疑难心电图主波位置进行了识别定位，易于理解，容易实现，定位精度较高。</description><language>chi ; eng</language><subject>DIAGNOSIS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; SURGERY</subject><creationdate>2019</creationdate><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://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190618&DB=EPODOC&CC=CN&NR=109893124A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25563,76418</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190618&DB=EPODOC&CC=CN&NR=109893124A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YANG ZHI</creatorcontrib><creatorcontrib>FU LINGJIAN</creatorcontrib><creatorcontrib>GU LINYUE</creatorcontrib><creatorcontrib>SUN BIN</creatorcontrib><title>Difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis</title><description>The invention discloses a difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis. The method comprises the following steps: a), preprocessing; b), finding out the positive R wave position and the negative Q or S wave (or QS) position; c), performing comparison to preliminarily determining the positions of the main waves; d), performing calibration to determine the positions of the main waves. Inner correlation between leads is considered, and a clustering method is utilized for identifying and positioning the positions of the difficult electrocardiogram main waves; the method is easy to understand and implement and higher in positioning precision.
本发明公开了一种基于多导联聚类分析的疑难心电图主波识别定位方法，包括：a)预处理；b)找出正向R波位置及负向的Q或S波(或QS)位置；c)比较，初步定出主波位置；d)校准，确定主波位置。本发明通过考虑导联之间的内在相关性，利用聚类方法对疑难心电图主波位置进行了识别定位，易于理解，容易实现，定位精度较高。</description><subject>DIAGNOSIS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjD0KwkAQRtNYiHqH8QABNRamlKhYWdmHcXc2DuxP2Jkoub0RPIDVx4P3vnkRTuwcm8ErkCejORnMllOXMUBAjvDGFwFbispu5NgBRgt9ElZO8cuB9JksPFDIQooQpjMuPaEF4wdRylOCfhSWZTFz6IVWv10U68v53lxL6lNL0qOhSNo2t-2mPtTVdrc_Vv84H-zNQwg</recordid><startdate>20190618</startdate><enddate>20190618</enddate><creator>YANG ZHI</creator><creator>FU LINGJIAN</creator><creator>GU LINYUE</creator><creator>SUN BIN</creator><scope>EVB</scope></search><sort><creationdate>20190618</creationdate><title>Difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis</title><author>YANG ZHI ; FU LINGJIAN ; GU LINYUE ; SUN BIN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN109893124A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>DIAGNOSIS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>YANG ZHI</creatorcontrib><creatorcontrib>FU LINGJIAN</creatorcontrib><creatorcontrib>GU LINYUE</creatorcontrib><creatorcontrib>SUN BIN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>YANG ZHI</au><au>FU LINGJIAN</au><au>GU LINYUE</au><au>SUN BIN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis</title><date>2019-06-18</date><risdate>2019</risdate><abstract>The invention discloses a difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis. The method comprises the following steps: a), preprocessing; b), finding out the positive R wave position and the negative Q or S wave (or QS) position; c), performing comparison to preliminarily determining the positions of the main waves; d), performing calibration to determine the positions of the main waves. Inner correlation between leads is considered, and a clustering method is utilized for identifying and positioning the positions of the difficult electrocardiogram main waves; the method is easy to understand and implement and higher in positioning precision.
本发明公开了一种基于多导联聚类分析的疑难心电图主波识别定位方法，包括：a)预处理；b)找出正向R波位置及负向的Q或S波(或QS)位置；c)比较，初步定出主波位置；d)校准，确定主波位置。本发明通过考虑导联之间的内在相关性，利用聚类方法对疑难心电图主波位置进行了识别定位，易于理解，容易实现，定位精度较高。</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | DIAGNOSIS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE SURGERY |
| title | Difficult electrocardiogram main wave identifying and positioning method based on multi-lead cluster analysis |
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