{"id":"https://openalex.org/W2158700104","doi":"https://doi.org/10.1109/cbms.2010.6042619","title":"A framework for ECG morphology features recognition","display_name":"A framework for ECG morphology features recognition","publication_year":2010,"publication_date":"2010-10-01","ids":{"openalex":"https://openalex.org/W2158700104","doi":"https://doi.org/10.1109/cbms.2010.6042619","mag":"2158700104"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2010.6042619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100462846","display_name":"Jiawei Zhang","orcid":"https://orcid.org/0000-0002-9049-482X"},"institutions":[{"id":"https://openalex.org/I4210092495","display_name":"Suzhou Institute of Nano-tech and Nano-bionics","ror":"https://ror.org/0027d9x02","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092495"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhang Jia-wei","raw_affiliation_strings":["Nstitute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS), Suzhou, China","Software Engineering Institute, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Nstitute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS), Suzhou, China","institution_ids":["https://openalex.org/I4210092495","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078116735","display_name":"Xiaojuan Hu","orcid":"https://orcid.org/0000-0001-5581-0797"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hu Xiao-juan","raw_affiliation_strings":["Software Engineering Institute, East China Normal University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504748","display_name":"Xia Liu","orcid":"https://orcid.org/0000-0002-8277-4880"},"institutions":[{"id":"https://openalex.org/I2801556517","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2801556517"]},{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liu Xia","raw_affiliation_strings":["School of Medicine, Rui Jin Hospital, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Rui Jin Hospital, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I2801556517","https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101739942","display_name":"Jun Dong","orcid":"https://orcid.org/0000-0003-4399-8985"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210092495","display_name":"Suzhou Institute of Nano-tech and Nano-bionics","ror":"https://ror.org/0027d9x02","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210092495"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Jun","raw_affiliation_strings":["Nstitute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS), Suzhou, China"],"affiliations":[{"raw_affiliation_string":"Nstitute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences (CAS), Suzhou, China","institution_ids":["https://openalex.org/I4210092495","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100462846"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210092495","https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.6743,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71620307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"85","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9783999919891357,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.7912323474884033},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7709400653839111},{"id":"https://openalex.org/keywords/dynamic-time-warping","display_name":"Dynamic time warping","score":0.7549017667770386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6939693689346313},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.643510639667511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6190872192382812},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.584805965423584},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5339305400848389},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.522917628288269},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.41886961460113525},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3527790606021881},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.12198957800865173}],"concepts":[{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.7912323474884033},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7709400653839111},{"id":"https://openalex.org/C88516994","wikidata":"https://www.wikidata.org/wiki/Q1268863","display_name":"Dynamic time warping","level":2,"score":0.7549017667770386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6939693689346313},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.643510639667511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190872192382812},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.584805965423584},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5339305400848389},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.522917628288269},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.41886961460113525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3527790606021881},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.12198957800865173},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2010.6042619","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2010.6042619","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2010 IEEE 23rd International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6700000166893005,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W116902681","https://openalex.org/W142212369","https://openalex.org/W631502863","https://openalex.org/W1532325895","https://openalex.org/W1551955830","https://openalex.org/W1565377632","https://openalex.org/W1636782659","https://openalex.org/W1732807264","https://openalex.org/W1967318463","https://openalex.org/W1971134780","https://openalex.org/W2026539780","https://openalex.org/W2039260438","https://openalex.org/W2054804336","https://openalex.org/W2065285159","https://openalex.org/W2084134149","https://openalex.org/W2098759488","https://openalex.org/W2107141441","https://openalex.org/W2122111042","https://openalex.org/W2132300419","https://openalex.org/W2142998885","https://openalex.org/W2147360164","https://openalex.org/W2162893304","https://openalex.org/W2165216297","https://openalex.org/W2476797758","https://openalex.org/W2482589566","https://openalex.org/W2501229699","https://openalex.org/W3017143921","https://openalex.org/W4237692298","https://openalex.org/W6604828220","https://openalex.org/W6616424100","https://openalex.org/W6633894697","https://openalex.org/W6637599265","https://openalex.org/W6681975367"],"related_works":["https://openalex.org/W2361315595","https://openalex.org/W2602219756","https://openalex.org/W2092361839","https://openalex.org/W2360986010","https://openalex.org/W2383447469","https://openalex.org/W9684605","https://openalex.org/W2371197140","https://openalex.org/W2012236123","https://openalex.org/W2359518577","https://openalex.org/W1605702723"],"abstract_inverted_index":{"ECG":[0,39,47,70],"morphology":[1,48],"features,":[2],"as":[3,95],"a":[4,44,59,115],"kind":[5],"of":[6,29,37,100,111,118],"significant":[7],"diagnosis":[8],"feature,":[9],"are":[10],"widely":[11],"used":[12,66],"by":[13,113],"experienced":[14],"cardiologists":[15],"and":[16,81,89],"highlighted":[17],"in":[18,76],"professional":[19],"medical":[20],"textbooks.":[21],"Fail":[22],"to":[23,67,85],"utilize":[24],"it":[25],"should":[26],"be":[27],"one":[28],"the":[30,35,69,73,77,87,92,98,119],"most":[31],"important":[32],"reasons":[33],"for":[34,46],"underperformance":[36],"automatic":[38],"classification.":[40],"In":[41],"this":[42],"paper,":[43],"framework":[45],"features":[49],"recognition":[50],"is":[51,65,83],"presented.":[52],"1-nearest-neighbor":[53],"with":[54,72],"dynamic":[55],"time":[56,61],"warping":[57],"(1NN-DTW),":[58],"strong":[60],"series":[62],"matching":[63],"algorithm,":[64,105],"compare":[68],"segments":[71],"templates":[74,93],"store":[75],"system.":[78],"Template":[79],"selection":[80],"reduction":[82,104],"applied":[84],"accelerate":[86],"classifier":[88],"cut":[90],"down":[91],"volume":[94],"well.":[96],"With":[97],"help":[99],"new":[101],"proposed":[102],"template":[103,121],"our":[106],"system":[107],"has":[108],"an":[109],"accuracy":[110],"90.71%":[112],"using":[114],"small":[116],"portion":[117],"original":[120],"set.":[122]},"counts_by_year":[{"year":2017,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
