{"id":"https://openalex.org/W2796187354","doi":"https://doi.org/10.1145/3173574.3174237","title":"ECGLens","display_name":"ECGLens","publication_year":2018,"publication_date":"2018-04-20","ids":{"openalex":"https://openalex.org/W2796187354","doi":"https://doi.org/10.1145/3173574.3174237","mag":"2796187354"},"language":"en","primary_location":{"id":"doi:10.1145/3173574.3174237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3173574.3174237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","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/A5025567094","display_name":"Ke Xu","orcid":"https://orcid.org/0000-0001-5855-3810"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Ke Xu","raw_affiliation_strings":["Hong Kong University of Science & Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science & Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056999690","display_name":"Shunan Guo","orcid":"https://orcid.org/0000-0001-5355-8399"},"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":"Shunan Guo","raw_affiliation_strings":["East China Normal University, ShangHai, China"],"affiliations":[{"raw_affiliation_string":"East China Normal University, ShangHai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000474356","display_name":"Nan Cao","orcid":"https://orcid.org/0000-0003-1316-7515"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nan Cao","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077712580","display_name":"David Gotz","orcid":"https://orcid.org/0000-0002-6424-7374"},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Gotz","raw_affiliation_strings":["University of North Carolina at Chapel Hill, Chapel Hill, NC, USA"],"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill, Chapel Hill, NC, USA","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102425285","display_name":"Aiwen Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aiwen Xu","raw_affiliation_strings":["Tongji University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091466289","display_name":"Huamin Qu","orcid":"https://orcid.org/0000-0002-3344-9694"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]},{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Huamin Qu","raw_affiliation_strings":["Hong Kong University of Science & Technology, Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Hong Kong University of Science & Technology, Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084907331","display_name":"Zhenjie Yao","orcid":"https://orcid.org/0000-0003-1027-637X"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenjie Yao","raw_affiliation_strings":["Beijing university of technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing university of technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393445","display_name":"Yixin Chen","orcid":"https://orcid.org/0000-0002-3704-4432"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yixin Chen","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5025567094"],"corresponding_institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":3.5854,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":{"value":0.93880227,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":1.0,"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":1.0,"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":0.9973000288009644,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8023076057434082},{"id":"https://openalex.org/keywords/glyph","display_name":"Glyph (data visualization)","score":0.7662379741668701},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.7080077528953552},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5651695728302002},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5267750024795532},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.48239079117774963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.478906512260437},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4500945210456848},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.4344809949398041},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4252907633781433},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.2815139889717102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023076057434082},{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.7662379741668701},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.7080077528953552},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5651695728302002},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5267750024795532},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.48239079117774963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.478906512260437},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4500945210456848},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.4344809949398041},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4252907633781433},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2815139889717102},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3173574.3174237","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3173574.3174237","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-90313","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-90313","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"},{"id":"pmh:oai:repository.ust.hk:1783.1-90313","is_oa":false,"landing_page_url":"http://www.scopus.com/record/display.url?eid=2-s2.0-85046951736&origin=inward","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"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":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320338409","display_name":"Northwest Fisheries Science Center","ror":"https://ror.org/05r7z1k40"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1514649956","https://openalex.org/W1525833170","https://openalex.org/W1544301108","https://openalex.org/W1606613194","https://openalex.org/W1976175065","https://openalex.org/W1979279770","https://openalex.org/W1983921492","https://openalex.org/W2003225461","https://openalex.org/W2004896487","https://openalex.org/W2028117997","https://openalex.org/W2032304886","https://openalex.org/W2052043315","https://openalex.org/W2064585320","https://openalex.org/W2076212528","https://openalex.org/W2095409369","https://openalex.org/W2100537461","https://openalex.org/W2101166342","https://openalex.org/W2103308415","https://openalex.org/W2123565895","https://openalex.org/W2123736135","https://openalex.org/W2127510558","https://openalex.org/W2131322475","https://openalex.org/W2141101491","https://openalex.org/W2144182447","https://openalex.org/W2145000709","https://openalex.org/W2146948310","https://openalex.org/W2164274563","https://openalex.org/W2167274237","https://openalex.org/W2215141048","https://openalex.org/W2251133041","https://openalex.org/W2289653138","https://openalex.org/W2306394264","https://openalex.org/W2504094372","https://openalex.org/W2543661139","https://openalex.org/W2552926193","https://openalex.org/W2610685016","https://openalex.org/W2624302955","https://openalex.org/W2731010577","https://openalex.org/W4245194588","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W4385543909","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W2971077392","https://openalex.org/W1898280036","https://openalex.org/W2315807364","https://openalex.org/W2382278803","https://openalex.org/W3185156046","https://openalex.org/W2184115898","https://openalex.org/W2922305141"],"abstract_inverted_index":{"The":[0],"Electrocardiogram":[1],"(ECG)":[2],"is":[3,14],"commonly":[4],"used":[5,15],"to":[6,21,33,45,107],"detect":[7,22],"arrhythmias.":[8,24],"Traditionally,":[9],"a":[10,93,103,120],"single":[11],"ECG":[12,39,73,114],"observation":[13],"for":[16,57,66],"diagnosis,":[17],"making":[18],"it":[19,31],"difficult":[20],"irregular":[23],"Recent":[25],"technology":[26],"developments,":[27],"however,":[28],"have":[29],"made":[30],"cost-effective":[32],"collect":[34],"large":[35,51],"amounts":[36],"of":[37,95,113,137],"raw":[38],"data":[40,52],"over":[41],"time.":[42],"This":[43,59],"promises":[44],"improve":[46,108],"diagnosis":[47],"accuracy,":[48],"but":[49],"the":[50,109,128,135],"volume":[53],"presents":[54],"new":[55],"challenges":[56],"cardiologists.":[58],"paper":[60],"introduces":[61],"ECGLens,":[62],"an":[63,78,88],"interactive":[64],"system":[65,76],"arrhythmia":[67,131,140],"detection":[68,90,141],"and":[69,92,111,133],"analysis":[70],"using":[71],"large-scale":[72],"data.":[74],"Our":[75],"integrates":[77],"automatic":[79],"heartbeat":[80],"classification":[81],"algorithm":[82],"based":[83],"on":[84],"convolutional":[85],"neural":[86],"network,":[87],"outlier":[89],"algorithm,":[91],"set":[94],"rich":[96],"interaction":[97],"techniques.":[98],"We":[99,116],"also":[100],"introduce":[101],"A-glyph,":[102],"novel":[104],"glyph":[105],"designed":[106],"readability":[110],"comparison":[112],"signals.":[115],"report":[117],"results":[118],"from":[119],"comprehensive":[121],"user":[122],"study":[123],"showing":[124],"that":[125],"A-glyph":[126],"improves":[127],"efficiency":[129],"in":[130,139],"detection,":[132],"demonstrate":[134],"effectiveness":[136],"ECGLens":[138],"through":[142],"two":[143],"expert":[144],"interviews.":[145]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":2}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2018-04-13T00:00:00"}