{"id":"https://openalex.org/W4206038245","doi":"https://doi.org/10.23919/cinc53138.2021.9662763","title":"Optimal ECG Lead System for Automatic Myocardial Ischemia Detection","display_name":"Optimal ECG Lead System for Automatic Myocardial Ischemia Detection","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W4206038245","doi":"https://doi.org/10.23919/cinc53138.2021.9662763"},"language":"en","primary_location":{"id":"doi:10.23919/cinc53138.2021.9662763","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cinc53138.2021.9662763","pdf_url":null,"source":{"id":"https://openalex.org/S4363605378","display_name":"2021 Computing in Cardiology (CinC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Computing in Cardiology (CinC)","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/A5023308274","display_name":"Misha Glazunov","orcid":null},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Misha Glazunov","raw_affiliation_strings":["TU Delft, Delft, the Netherlands"],"affiliations":[{"raw_affiliation_string":"TU Delft, Delft, the Netherlands","institution_ids":["https://openalex.org/I98358874"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113800200","display_name":"Alfonso Aranda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210126314","display_name":"Medtronic (Netherlands)","ror":"https://ror.org/02hmjce72","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210091810","https://openalex.org/I4210126314"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Alfonso Aranda","raw_affiliation_strings":["Bakken Research Center, Medtronic, Maastricht, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Bakken Research Center, Medtronic, Maastricht, The Netherlands","institution_ids":["https://openalex.org/I4210126314"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021063453","display_name":"Carlo Galuzzi","orcid":null},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Carlo Galuzzi","raw_affiliation_strings":["Swinburne University of Technology, Melbourne, Australia"],"affiliations":[{"raw_affiliation_string":"Swinburne University of Technology, Melbourne, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5023308274"],"corresponding_institution_ids":["https://openalex.org/I98358874"],"apc_list":null,"apc_paid":null,"fwci":0.3459,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.4875,"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":"01","last_page":"04"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9969000220298767,"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":0.9969000220298767,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9965000152587891,"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":0.9936000108718872,"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":0.5584694743156433},{"id":"https://openalex.org/keywords/lead","display_name":"Lead (geology)","score":0.5424947738647461},{"id":"https://openalex.org/keywords/electrocardiography","display_name":"Electrocardiography","score":0.5290181636810303},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5224056243896484},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.43741580843925476},{"id":"https://openalex.org/keywords/ischemia","display_name":"Ischemia","score":0.4152878522872925},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.38867855072021484},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2295839786529541},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07083943486213684}],"concepts":[{"id":"https://openalex.org/C3017461755","wikidata":"https://www.wikidata.org/wiki/Q844935","display_name":"Myocardial ischemia","level":3,"score":0.5584694743156433},{"id":"https://openalex.org/C2777093003","wikidata":"https://www.wikidata.org/wiki/Q6508345","display_name":"Lead (geology)","level":2,"score":0.5424947738647461},{"id":"https://openalex.org/C2780040984","wikidata":"https://www.wikidata.org/wiki/Q79785","display_name":"Electrocardiography","level":2,"score":0.5290181636810303},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5224056243896484},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.43741580843925476},{"id":"https://openalex.org/C541997718","wikidata":"https://www.wikidata.org/wiki/Q188151","display_name":"Ischemia","level":2,"score":0.4152878522872925},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.38867855072021484},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2295839786529541},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07083943486213684},{"id":"https://openalex.org/C114793014","wikidata":"https://www.wikidata.org/wiki/Q52109","display_name":"Geomorphology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.23919/cinc53138.2021.9662763","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cinc53138.2021.9662763","pdf_url":null,"source":{"id":"https://openalex.org/S4363605378","display_name":"2021 Computing in Cardiology (CinC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Computing in Cardiology (CinC)","raw_type":"proceedings-article"},{"id":"pmh:um:oai:cris.maastrichtuniversity.nl:publications/b1f054b7-18e0-4ef0-8341-7a6a1cb0267f","is_oa":false,"landing_page_url":"https://cris.maastrichtuniversity.nl/en/publications/b1f054b7-18e0-4ef0-8341-7a6a1cb0267f","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2021 Computing in Cardiology (CinC), 1 - 4","raw_type":"info:eu-repo/semantics/conferencepaper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W94487309","https://openalex.org/W107001962","https://openalex.org/W1549386224","https://openalex.org/W1986706069","https://openalex.org/W2029401646","https://openalex.org/W2089693419","https://openalex.org/W2152254020","https://openalex.org/W2162800060","https://openalex.org/W2164284840","https://openalex.org/W2794805771","https://openalex.org/W2795083001","https://openalex.org/W2899051962","https://openalex.org/W4233153031","https://openalex.org/W6604353336","https://openalex.org/W6673103942"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2935909890","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W4255463199"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,49,72,126],"study":[4],"features":[5,57,115,133],"that":[6],"are":[7],"not":[8],"commonly":[9],"used":[10],"in":[11,19,36,42,173],"clinical":[12],"practice":[13],"but":[14],"may":[15],"play":[16],"a":[17,29,174],"role":[18],"the":[20,37,43,63,67,74,84,90,98,101,109,113,131,136,151,163,168,179,182],"automatic":[21,81,160],"detection":[22],"of":[23,150,171,185],"acute":[24],"myocardial":[25],"infarction":[26],"(AMI)":[27],"using":[28,83],"reduced":[30],"3-lead":[31,92],"ECG":[32,53,93,176],"system:":[33],"fragmented":[34],"QRS":[35],"time":[38],"domain":[39],"and":[40,54,58,66,88,120,134,156],"intra-QRS":[41],"time-frequency":[44],"domain.":[45],"Using":[46],"chaos":[47],"theory":[48],"reconstruct":[50],"attractors":[51],"from":[52,181],"devise":[55],"geometrical":[56],"two":[59],"main":[60],"dynamical":[61],"invariants:":[62],"correlation":[64],"dimension":[65],"Lyapunov":[68],"exponent.":[69],"For":[70],"validation,":[71],"use":[73],"Physionet":[75],"STAFF":[76],"III":[77],"dataset.":[78],"We":[79],"perform":[80],"classification":[82],"gradient":[85],"boosting":[86],"machine":[87],"identify":[89],"optimal":[91],"system,":[94],"achieving":[95],"promising":[96],"results:":[97],"area":[99],"under":[100],"ROC":[102],"curve":[103],"(AUC)":[104],"is":[105],"0.91.":[106],"It":[107],"improves":[108],"results":[110,145],"obtained":[111],"with":[112,130,139],"baseline":[114,132],"such":[116],"as":[117],"ST-segment":[118],"elevation":[119],"T-wave":[121],"inversion:":[122],"AUC":[123],"0.85.":[124],"Finally,":[125],"combine":[127],"new":[128],"parameters":[129],"enhance":[135],"final":[137],"model":[138],"previously":[140],"introduced":[141],"pseudo-vectorcardiography":[142],"parameters.":[143],"The":[144,158],"account":[146],"for":[147],"all":[148],"regions":[149],"heart":[152],"ischemia:":[153],"anterior,":[154],"inferior,":[155],"posterior.":[157],"proposed":[159],"algorithm":[161],"allows":[162],"easiest":[164],"way":[165],"to":[166],"determine":[167],"first":[169],"signs":[170],"AMI":[172],"patient's":[175],"based":[177],"on":[178],"input":[180],"minimal":[183],"number":[184],"leads.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}