{"id":"https://openalex.org/W4396843755","doi":"https://doi.org/10.1145/3589335.3651450","title":"Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators","display_name":"Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators","publication_year":2024,"publication_date":"2024-05-12","ids":{"openalex":"https://openalex.org/W4396843755","doi":"https://doi.org/10.1145/3589335.3651450"},"language":"en","primary_location":{"id":"doi:10.1145/3589335.3651450","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651450","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651450","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651450","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078669479","display_name":"Runze Yan","orcid":"https://orcid.org/0000-0002-6558-4567"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Runze Yan","raw_affiliation_strings":["Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089115718","display_name":"Neal K. Bhatia","orcid":"https://orcid.org/0000-0002-8021-6631"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neal K. Bhatia","raw_affiliation_strings":["School of Medicine, Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027213106","display_name":"Faisal M. Merchant","orcid":"https://orcid.org/0000-0003-0679-860X"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Faisal M. Merchant","raw_affiliation_strings":["School of Medicine, Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"School of Medicine, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059928810","display_name":"Alex Fedorov","orcid":"https://orcid.org/0000-0002-0350-9449"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alex Fedorov","raw_affiliation_strings":["Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052597064","display_name":"Ran Xiao","orcid":"https://orcid.org/0000-0002-3689-1680"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ran Xiao","raw_affiliation_strings":["Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031711509","display_name":"Cheng Ding","orcid":"https://orcid.org/0000-0001-8641-9299"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]},{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cheng Ding","raw_affiliation_strings":["Department of Biomedical Engineering, Georgia Institution of Technology &amp; Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Georgia Institution of Technology &amp; Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I130701444","https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101551591","display_name":"Xiao Hu","orcid":"https://orcid.org/0000-0001-9478-5571"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiao Hu","raw_affiliation_strings":["Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA"],"affiliations":[{"raw_affiliation_string":"Center for Data Science, Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia, USA","institution_ids":["https://openalex.org/I150468666"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5078669479"],"corresponding_institution_ids":["https://openalex.org/I150468666"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12198356,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1138","last_page":"1141"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9991000294685364,"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":0.9991000294685364,"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/T10217","display_name":"Cardiac electrophysiology and arrhythmias","score":0.9970999956130981,"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/T10598","display_name":"Cardiac pacing and defibrillation studies","score":0.9945999979972839,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.45918458700180054},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.44105270504951477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4046514928340912},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34341251850128174},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.3285277485847473},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08035555481910706}],"concepts":[{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.45918458700180054},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.44105270504951477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4046514928340912},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34341251850128174},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3285277485847473},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08035555481910706}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3589335.3651450","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651450","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651450","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3589335.3651450","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3589335.3651450","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3589335.3651450","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of the ACM Web Conference 2024","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.49000000953674316}],"awards":[{"id":"https://openalex.org/G3885966019","display_name":null,"funder_award_id":"R01HL166233, K23HL125251, R01HL155711","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396843755.pdf"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1510569067","https://openalex.org/W2037559511","https://openalex.org/W2916370975","https://openalex.org/W2941716414","https://openalex.org/W3006913750","https://openalex.org/W3019348515","https://openalex.org/W3023933473","https://openalex.org/W3176065502","https://openalex.org/W4386758254","https://openalex.org/W6679436768"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W4387497383","https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W2748952813","https://openalex.org/W1531601525"],"abstract_inverted_index":{"Identifying":[0],"electrical":[1],"signatures":[2],"preceding":[3],"a":[4,25,46,57,82,99,165,181],"ventricular":[5],"arrhythmia":[6,159],"from":[7,36,72,137],"the":[8,32,37,41,51,103,116,125,145,154],"implantable":[9],"cardioverter-defibrillators":[10],"(ICDs)":[11],"can":[12],"help":[13],"predict":[14],"an":[15,73],"upcoming":[16],"ICD":[17,151,191],"shock.":[18],"To":[19],"achieve":[20],"this,":[21],"we":[22,55],"first":[23],"deployed":[24],"large-scale":[26],"study":[27],"(N=326)":[28],"to":[29,45],"continuously":[30],"monitor":[31],"electrogram":[33],"(EGM)":[34],"data":[35],"ICDs":[38],"and":[39,49,67,95,134,174],"select":[40],"EGM":[42,107,119],"segments":[43],"prior":[44],"shock":[47],"event":[48],"under":[50,121],"normal":[52,135],"condition.":[53],"Next,":[54],"design":[56],"novel":[58],"cohesive":[59],"framework":[60,143,179],"that":[61,113],"integrates":[62],"metric":[63,78],"learning,":[64,66,69],"prototype":[65],"few-shot":[68],"enabling":[70],"learning":[71,79],"imbalanced":[74],"dataset.":[75],"We":[76,91],"implement":[77],"by":[80],"leveraging":[81],"Siamese":[83],"neural":[84],"network":[85],"architecture,":[86],"which":[87],"incorporates":[88],"LSTM":[89],"units.":[90],"innovatively":[92],"utilize":[93],"triplet":[94],"pair":[96],"losses":[97],"in":[98,156,184],"sequential":[100],"manner":[101],"throughout":[102],"training":[104],"process":[105],"on":[106],"samples.":[108],"This":[109],"approach":[110],"generates":[111],"embeddings":[112],"significantly":[114],"enhance":[115],"distinction":[117],"of":[118,148,169,172,176],"signals":[120,149],"different":[122],"conditions.":[123],"In":[124,140],"inference":[126],"stage,":[127],"k-means":[128],"clustering":[129],"identifies":[130],"prototypes":[131],"representing":[132],"pre-shock":[133],"states":[136],"these":[138],"embeddings.":[139],"summary,":[141],"this":[142],"leverages":[144],"predictive":[146,187],"potential":[147],"before":[150],"shocks,":[152],"addressing":[153],"gap":[155],"early":[157],"cardiac":[158,185],"detection.":[160],"Our":[161,178],"experimental":[162],"results":[163],"show":[164],"notable":[166],"F1":[167],"score":[168],"0.87,":[170],"sensitivity":[171],"0.97,":[173],"precision":[175],"0.79.":[177],"offers":[180],"significant":[182],"advancement":[183],"care":[186],"analytics,":[188],"promising":[189],"enhanced":[190],"decision-making":[192],"for":[193],"improved":[194],"patient":[195],"outcomes.":[196]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
