Heart sound connected network feature extraction method based on frequency correlation
The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communicat...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Patent |
| Sprache: | chi ; eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | |
| container_start_page | |
| container_title | |
| container_volume | |
| creator | ZHAO PENGJUN CHENG XIEFENG SHE CHENJUN WANG KAI |
| description | The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communication network is constructed on a large-scale level according to auscultation area division, so that feature extraction of the communication network is realized. Heart sound signals at different positions in the auscultation area module can be collected at the same time, and multi-channel heart sounddata with more physiological significance and physical significance than single-channel data is obtained; frequency correlation analysis and correlation matrix establishment are carried out; accordingto the method, isolated and dispersed data information is effectively and organically integrated together, so that the heart sound characteristics are extracted and represented, the heart sound communication network character |
| format | Patent |
| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN110610204A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN110610204A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN110610204A3</originalsourceid><addsrcrecordid>eNqNzTEKAjEUBNA0FqLe4XsAIatiL4uylZXYLt_sBMU1WX9-UG9vBA9gNQy8Ycbm1IBFKcUcOnIxBDhFRwH6jHIjD9YsILxU2Ok1BrpDL7GjM6fiSveCR0Zw7zIXQc9fNTUjz33C7JcTM9_vjnWzwBBbpIEdykVbH6rKbiq7tOvt6h_zAXcsOjM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Heart sound connected network feature extraction method based on frequency correlation</title><source>esp@cenet</source><creator>ZHAO PENGJUN ; CHENG XIEFENG ; SHE CHENJUN ; WANG KAI</creator><creatorcontrib>ZHAO PENGJUN ; CHENG XIEFENG ; SHE CHENJUN ; WANG KAI</creatorcontrib><description>The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communication network is constructed on a large-scale level according to auscultation area division, so that feature extraction of the communication network is realized. Heart sound signals at different positions in the auscultation area module can be collected at the same time, and multi-channel heart sounddata with more physiological significance and physical significance than single-channel data is obtained; frequency correlation analysis and correlation matrix establishment are carried out; accordingto the method, isolated and dispersed data information is effectively and organically integrated together, so that the heart sound characteristics are extracted and represented, the heart sound communication network character</description><language>chi ; eng</language><subject>ACOUSTICS ; CALCULATING ; COMPUTING ; COUNTING ; DIAGNOSIS ; HANDLING RECORD CARRIERS ; HUMAN NECESSITIES ; HYGIENE ; IDENTIFICATION ; MEDICAL OR VETERINARY SCIENCE ; MUSICAL INSTRUMENTS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS ; SPEECH ANALYSIS OR SYNTHESIS ; SPEECH OR AUDIO CODING OR DECODING ; SPEECH OR VOICE PROCESSING ; SPEECH RECOGNITION ; 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=20191224&DB=EPODOC&CC=CN&NR=110610204A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20191224&DB=EPODOC&CC=CN&NR=110610204A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHAO PENGJUN</creatorcontrib><creatorcontrib>CHENG XIEFENG</creatorcontrib><creatorcontrib>SHE CHENJUN</creatorcontrib><creatorcontrib>WANG KAI</creatorcontrib><title>Heart sound connected network feature extraction method based on frequency correlation</title><description>The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communication network is constructed on a large-scale level according to auscultation area division, so that feature extraction of the communication network is realized. Heart sound signals at different positions in the auscultation area module can be collected at the same time, and multi-channel heart sounddata with more physiological significance and physical significance than single-channel data is obtained; frequency correlation analysis and correlation matrix establishment are carried out; accordingto the method, isolated and dispersed data information is effectively and organically integrated together, so that the heart sound characteristics are extracted and represented, the heart sound communication network character</description><subject>ACOUSTICS</subject><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DIAGNOSIS</subject><subject>HANDLING RECORD CARRIERS</subject><subject>HUMAN NECESSITIES</subject><subject>HYGIENE</subject><subject>IDENTIFICATION</subject><subject>MEDICAL OR VETERINARY SCIENCE</subject><subject>MUSICAL INSTRUMENTS</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><subject>SPEECH ANALYSIS OR SYNTHESIS</subject><subject>SPEECH OR AUDIO CODING OR DECODING</subject><subject>SPEECH OR VOICE PROCESSING</subject><subject>SPEECH RECOGNITION</subject><subject>SURGERY</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2019</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNzTEKAjEUBNA0FqLe4XsAIatiL4uylZXYLt_sBMU1WX9-UG9vBA9gNQy8Ycbm1IBFKcUcOnIxBDhFRwH6jHIjD9YsILxU2Ok1BrpDL7GjM6fiSveCR0Zw7zIXQc9fNTUjz33C7JcTM9_vjnWzwBBbpIEdykVbH6rKbiq7tOvt6h_zAXcsOjM</recordid><startdate>20191224</startdate><enddate>20191224</enddate><creator>ZHAO PENGJUN</creator><creator>CHENG XIEFENG</creator><creator>SHE CHENJUN</creator><creator>WANG KAI</creator><scope>EVB</scope></search><sort><creationdate>20191224</creationdate><title>Heart sound connected network feature extraction method based on frequency correlation</title><author>ZHAO PENGJUN ; CHENG XIEFENG ; SHE CHENJUN ; WANG KAI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN110610204A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2019</creationdate><topic>ACOUSTICS</topic><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DIAGNOSIS</topic><topic>HANDLING RECORD CARRIERS</topic><topic>HUMAN NECESSITIES</topic><topic>HYGIENE</topic><topic>IDENTIFICATION</topic><topic>MEDICAL OR VETERINARY SCIENCE</topic><topic>MUSICAL INSTRUMENTS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><topic>SPEECH ANALYSIS OR SYNTHESIS</topic><topic>SPEECH OR AUDIO CODING OR DECODING</topic><topic>SPEECH OR VOICE PROCESSING</topic><topic>SPEECH RECOGNITION</topic><topic>SURGERY</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHAO PENGJUN</creatorcontrib><creatorcontrib>CHENG XIEFENG</creatorcontrib><creatorcontrib>SHE CHENJUN</creatorcontrib><creatorcontrib>WANG KAI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHAO PENGJUN</au><au>CHENG XIEFENG</au><au>SHE CHENJUN</au><au>WANG KAI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Heart sound connected network feature extraction method based on frequency correlation</title><date>2019-12-24</date><risdate>2019</risdate><abstract>The invention discloses a heart sound connected network feature extraction method based on frequency correlation. According to the method, multi-channel heart sound pickup part points are used as network nodes, frequency correlation among the nodes is calculated, and a modular heart sound communication network is constructed on a large-scale level according to auscultation area division, so that feature extraction of the communication network is realized. Heart sound signals at different positions in the auscultation area module can be collected at the same time, and multi-channel heart sounddata with more physiological significance and physical significance than single-channel data is obtained; frequency correlation analysis and correlation matrix establishment are carried out; accordingto the method, isolated and dispersed data information is effectively and organically integrated together, so that the heart sound characteristics are extracted and represented, the heart sound communication network character</abstract><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | |
| ispartof | |
| issn | |
| language | chi ; eng |
| recordid | cdi_epo_espacenet_CN110610204A |
| source | esp@cenet |
| subjects | ACOUSTICS CALCULATING COMPUTING COUNTING DIAGNOSIS HANDLING RECORD CARRIERS HUMAN NECESSITIES HYGIENE IDENTIFICATION MEDICAL OR VETERINARY SCIENCE MUSICAL INSTRUMENTS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS SPEECH ANALYSIS OR SYNTHESIS SPEECH OR AUDIO CODING OR DECODING SPEECH OR VOICE PROCESSING SPEECH RECOGNITION SURGERY |
| title | Heart sound connected network feature extraction method based on frequency correlation |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-09T20%3A18%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=ZHAO%20PENGJUN&rft.date=2019-12-24&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN110610204A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true |