{"id":"https://openalex.org/W2794582389","doi":"https://doi.org/10.22489/cinc.2017.269-417","title":"Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity","display_name":"Detecting Ischemic Stress to the Myocardium Using Laplacian Eigenmaps and Changes to Conduction Velocity","publication_year":2017,"publication_date":"2017-09-14","ids":{"openalex":"https://openalex.org/W2794582389","doi":"https://doi.org/10.22489/cinc.2017.269-417","mag":"2794582389","pmid":"https://pubmed.ncbi.nlm.nih.gov/29930952"},"language":"en","primary_location":{"id":"doi:10.22489/cinc.2017.269-417","is_oa":true,"landing_page_url":"http://doi.org/10.22489/cinc.2017.269-417","pdf_url":"https://doi.org/10.22489/cinc.2017.269-417","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://doi.org/10.22489/cinc.2017.269-417","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031095884","display_name":"Wilson Good","orcid":"https://orcid.org/0000-0002-0111-9076"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wilson Good","raw_affiliation_strings":["Scientific Computing and Imaging Institute, Bioengineering, University of Utah, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific Computing and Imaging Institute, Bioengineering, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068919868","display_name":"Burak Erem","orcid":null},"institutions":[{"id":"https://openalex.org/I1288882113","display_name":"Boston Children's Hospital","ror":"https://ror.org/00dvg7y05","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1288882113"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Burak Erem","raw_affiliation_strings":["Boston Children's Hospital and TrueMotion, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Boston Children's Hospital and TrueMotion, Boston, MA, USA","institution_ids":["https://openalex.org/I1288882113"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041760414","display_name":"Jaume Coll\u2010Font","orcid":"https://orcid.org/0000-0001-9341-6838"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jaume Coll-Font","raw_affiliation_strings":["SPIRAL Group, ECE Dept., Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPIRAL Group, ECE Dept., Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079980080","display_name":"Dana H. Brooks","orcid":"https://orcid.org/0000-0003-3231-6715"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dana Brooks","raw_affiliation_strings":["SPIRAL Group, ECE Dept., Northeastern University, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SPIRAL Group, ECE Dept., Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023536951","display_name":"Rob MacLeod","orcid":"https://orcid.org/0000-0002-0000-0356"},"institutions":[{"id":"https://openalex.org/I223532165","display_name":"University of Utah","ror":"https://ror.org/03r0ha626","country_code":"US","type":"education","lineage":["https://openalex.org/I223532165"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rob MacLeod","raw_affiliation_strings":["Scientific Computing and Imaging Institute, Bioengineering, University of Utah, Salt Lake City, UT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Scientific Computing and Imaging Institute, Bioengineering, University of Utah, Salt Lake City, UT, USA","institution_ids":["https://openalex.org/I223532165"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9074,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78936517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"44","issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9980000257492065,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9980000257492065,"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/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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9729999899864197,"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/ischemia","display_name":"Ischemia","score":0.6863928437232971},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.5923442244529724},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5491330027580261},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.5305343866348267},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.527807354927063},{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.5268852710723877},{"id":"https://openalex.org/keywords/biomarker","display_name":"Biomarker","score":0.45895037055015564},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4533308744430542},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44475221633911133},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4295450448989868},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3802288770675659},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12061011791229248}],"concepts":[{"id":"https://openalex.org/C541997718","wikidata":"https://www.wikidata.org/wiki/Q188151","display_name":"Ischemia","level":2,"score":0.6863928437232971},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.5923442244529724},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5491330027580261},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.5305343866348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.527807354927063},{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.5268852710723877},{"id":"https://openalex.org/C2781197716","wikidata":"https://www.wikidata.org/wiki/Q864574","display_name":"Biomarker","level":2,"score":0.45895037055015564},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4533308744430542},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44475221633911133},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4295450448989868},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3802288770675659},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12061011791229248},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.22489/cinc.2017.269-417","is_oa":true,"landing_page_url":"http://doi.org/10.22489/cinc.2017.269-417","pdf_url":"https://doi.org/10.22489/cinc.2017.269-417","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},{"id":"pmid:29930952","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29930952","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in cardiology","raw_type":null},{"id":"pmh:oai:europepmc.org:4959915","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6007991","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6007991","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6007991","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Comput Cardiol (2010)","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.22489/cinc.2017.269-417","is_oa":true,"landing_page_url":"http://doi.org/10.22489/cinc.2017.269-417","pdf_url":"https://doi.org/10.22489/cinc.2017.269-417","source":{"id":"https://openalex.org/S4220650825","display_name":"Computing in cardiology","issn_l":"2325-8861","issn":["2325-8861","2325-887X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computing in Cardiology Conference (CinC)","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1260651376","display_name":null,"funder_award_id":"P41GM103545","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G6700086480","display_name":null,"funder_award_id":"P41GM103545","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320309883","display_name":"Foundation for Cardiovascular Research","ror":null},{"id":"https://openalex.org/F4320317828","display_name":"Nora Eccles Treadwell Foundation","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2794582389.pdf","grobid_xml":"https://content.openalex.org/works/W2794582389.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W61740405","https://openalex.org/W2027640201","https://openalex.org/W2062877222","https://openalex.org/W2072142813","https://openalex.org/W2097308346","https://openalex.org/W2342482347","https://openalex.org/W2594247949"],"related_works":["https://openalex.org/W2381850946","https://openalex.org/W4380449851","https://openalex.org/W3125091513","https://openalex.org/W4318832338","https://openalex.org/W2037048986","https://openalex.org/W832193342","https://openalex.org/W4248383205","https://openalex.org/W1919390113","https://openalex.org/W4234745530","https://openalex.org/W2029242992"],"abstract_inverted_index":{"The":[0,51,190],"underlying":[1,23,44],"pathophysiology":[2],"of":[3,16,22,48,71,112,162,187],"ischemia":[4,58,67,82],"and":[5,46,115,138,160,171],"its":[6],"electrocardiographic":[7],"consequences":[8,111],"are":[9],"poorly":[10],"understood,":[11],"resulting":[12],"in":[13,35],"unreliable":[14],"diagnosis":[15],"this":[17,132],"disease.":[18],"This":[19],"limited":[20],"knowledge":[21],"mechanisms":[24],"suggests":[25],"a":[26,127,166,184],"data":[27,91],"driven":[28,92],"approach,":[29],"which":[30,100],"seeks":[31],"to":[32,43,108,118,168,196],"identify":[33,102],"patterns":[34],"the":[36,63,72,78,119,122,136,152,157,200],"ECG":[37,54],"that":[38,76,106,193],"can":[39,101,203],"be":[40],"linked":[41],"statistically":[42],"behavior":[45],"conditions":[47],"ischemic":[49,113,147],"stress.":[50],"gold":[52,143],"standard":[53],"metrics":[55,194],"for":[56,145],"evaluating":[57],"monitor":[59,197],"vertical":[60],"deflections":[61],"within":[62],"ST":[64,153,201,214],"segment.":[65,154],"However,":[66],"influences":[68],"all":[69],"portions":[70],"electrogram.":[73],"Another":[74],"metric":[75],"targets":[77],"QRS":[79],"complex":[80],"during":[81],"is":[83,94],"Conduction":[84],"Velocity":[85],"(CV).":[86],"An":[87],"even":[88],"more":[89],"inclusive,":[90],"approach":[93],"known":[95],"as":[96,126,180,207],"\"Laplacian":[97],"Eigenmaps\"":[98],"(LE),":[99],"trajectories,":[103],"or":[104],"\"manifolds\",":[105],"respond":[107],"different":[109],"spatiotemporal":[110],"stress,":[114,148],"these":[116],"changes":[117],"trajectories":[120],"on":[121],"manifold":[123],"may":[124],"serve":[125],"clinically":[128],"relevant":[129],"biomarker.":[130],"On":[131],"study,":[133],"we":[134],"compared":[135],"LE-":[137],"CV-based":[139],"markers":[140],"against":[141],"two":[142],"standards":[144],"detecting":[146],"both":[149],"derived":[150],"from":[151,183],"We":[155],"evaluated":[156],"response":[158],"time":[159],"fidelity":[161],"each":[163],"biomarker":[164],"using":[165],"Time":[167],"Threshold":[169],"(TTT)":[170],"Contrast":[172],"Ratio":[173],"(CR)":[174],"measure,":[175],"over":[176],"51":[177],"episodes":[178],"recorded":[179],"cardiac":[181],"electrograms":[182],"canine":[185],"model":[186],"controlled":[188],"ischemia.":[189],"results":[191],"show":[192],"designed":[195],"regions":[198],"beyond":[199],"segment":[202,215],"perform":[204],"at":[205],"least":[206],"well,":[208],"if":[209],"not":[210],"better,":[211],"than":[212],"traditional":[213],"based":[216],"metrics.":[217]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
