{"id":"https://openalex.org/W1543059137","doi":"https://doi.org/10.1109/icdsp.2015.7251843","title":"Significant difference analysis of myocardial ischemia indicators based on synthesized algorithm","display_name":"Significant difference analysis of myocardial ischemia indicators based on synthesized algorithm","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1543059137","doi":"https://doi.org/10.1109/icdsp.2015.7251843","mag":"1543059137"},"language":"en","primary_location":{"id":"doi:10.1109/icdsp.2015.7251843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","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/A5100390528","display_name":"Cong Wang","orcid":"https://orcid.org/0000-0003-2289-2794"},"institutions":[{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Cong Wang","raw_affiliation_strings":["Dept. of Electronic Engineering, State Key Laboratory of ASIC & System, Fudan University, Shanghai, Shanghai, CN","State Key Laboratory of ASIC & System, Fudan University, Dept. of Electronic Engineering, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, State Key Laboratory of ASIC & System, Fudan University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC & System, Fudan University, Dept. of Electronic Engineering, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100457086","display_name":"Xiaomei Wu","orcid":"https://orcid.org/0000-0002-4937-7680"},"institutions":[{"id":"https://openalex.org/I4391767673","display_name":"State Key Laboratory of ASIC and System","ror":"https://ror.org/01mamgv83","country_code":null,"type":"facility","lineage":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaomei Wu","raw_affiliation_strings":["Dept. of Electronic Engineering, State Key Laboratory of ASIC & System, Fudan University, Shanghai, Shanghai, CN","State Key Laboratory of ASIC & System, Fudan University, Dept. of Electronic Engineering, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Dept. of Electronic Engineering, State Key Laboratory of ASIC & System, Fudan University, Shanghai, Shanghai, CN","institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"]},{"raw_affiliation_string":"State Key Laboratory of ASIC & System, Fudan University, Dept. of Electronic Engineering, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100390528"],"corresponding_institution_ids":["https://openalex.org/I24943067","https://openalex.org/I4391767673"],"apc_list":null,"apc_paid":null,"fwci":0.2125,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.57842432,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":null,"first_page":"124","last_page":"128"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9932000041007996,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.982699990272522,"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/myocardial-ischemia","display_name":"Myocardial ischemia","score":0.6141262054443359},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6049508452415466},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5163875222206116},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4872547686100006},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.46348410844802856},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4509177505970001},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4255434572696686},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.42308509349823},{"id":"https://openalex.org/keywords/ischemia","display_name":"Ischemia","score":0.3982866704463959},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36608701944351196},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.3233306407928467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26064759492874146},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2310190498828888}],"concepts":[{"id":"https://openalex.org/C3017461755","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Myocardial ischemia","level":3,"score":0.6141262054443359},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6049508452415466},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5163875222206116},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4872547686100006},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.46348410844802856},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4509177505970001},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4255434572696686},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.42308509349823},{"id":"https://openalex.org/C541997718","wikidata":"https://www.wikidata.org/wiki/Q188151","display_name":"Ischemia","level":2,"score":0.3982866704463959},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36608701944351196},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.3233306407928467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26064759492874146},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2310190498828888},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdsp.2015.7251843","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdsp.2015.7251843","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Digital Signal Processing (DSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace.library.uq.edu.au:UQ:06c1494","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1606613194","https://openalex.org/W2011658861","https://openalex.org/W2052921213","https://openalex.org/W2102955106","https://openalex.org/W2103132803","https://openalex.org/W2148848626","https://openalex.org/W2163430278","https://openalex.org/W2480989624","https://openalex.org/W6683949775"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2046633342","https://openalex.org/W2059273319","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Electrocardiogram":[0],"(ECG)":[1],"is":[2,13,25,87,109],"a":[3,22],"record":[4],"of":[5,9,29,50,68,81,98,116],"the":[6,10,47,61,106],"electrical":[7],"activity":[8],"heart,":[11],"which":[12],"widely":[14],"used":[15],"in":[16,60,94],"medical":[17],"treatment.":[18],"In":[19],"this":[20],"paper,":[21],"synthesized":[23,53,85],"algorithm":[24,54,86],"proposed":[26],"with":[27],"methods":[28],"multiresolution":[30],"wavelet":[31],"decomposition":[32],"and":[33,38,41,58,74,105,119],"reconstruction,":[34],"self-adaptive":[35],"threshold,":[36],"maximum":[37],"minimum":[39],"modulus":[40],"area":[42],"integration":[43],"techniques":[44],"to":[45,89],"extract":[46,90],"feature":[48],"points":[49],"ECG.":[51],"The":[52,84,100],"achieves":[55],"higher":[56],"accuracy":[57],"precision":[59],"data":[62],"validation":[63],"based":[64],"on":[65],"QT":[66],"Database":[67,97],"PhysioNet.":[69,99],"Besides,":[70],"ST":[71,96],"segment":[72],"length":[73],"RT":[75],"interval":[76],"are":[77],"introduced":[78],"as":[79],"indicators":[80,93,108],"myocardial":[82,103,121],"ischemia.":[83],"adopted":[88],"these":[91],"two":[92,107],"Long-term":[95],"correlation":[101],"between":[102],"ischemia":[104],"verified":[110],"by":[111],"their":[112],"significant":[113],"difference":[114],"analysis":[115],"before,":[117],"during":[118],"after":[120],"ischemic":[122],"episode.":[123]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}