{"id":"https://openalex.org/W4289938749","doi":"https://doi.org/10.1145/3554737","title":"A Sorting Fuzzy Min-Max Model in an Embedded System for Atrial Fibrillation Detection","display_name":"A Sorting Fuzzy Min-Max Model in an Embedded System for Atrial Fibrillation Detection","publication_year":2022,"publication_date":"2022-06-30","ids":{"openalex":"https://openalex.org/W4289938749","doi":"https://doi.org/10.1145/3554737"},"language":"en","primary_location":{"id":"doi:10.1145/3554737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3554737","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-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/A5101748860","display_name":"Wei Huang","orcid":"https://orcid.org/0000-0002-4315-8487"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Huang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4315-8487","affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059145957","display_name":"Yuze Zhang","orcid":"https://orcid.org/0000-0002-0233-6363"},"institutions":[{"id":"https://openalex.org/I136765683","display_name":"Tianjin University of Technology","ror":"https://ror.org/00zbe0w13","country_code":"CN","type":"education","lineage":["https://openalex.org/I136765683"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuze Zhang","raw_affiliation_strings":["Tianjin University of Techonlogy, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-0233-6363","affiliations":[{"raw_affiliation_string":"Tianjin University of Techonlogy, Tianjin, China","institution_ids":["https://openalex.org/I136765683"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003203521","display_name":"Shaohua Wan","orcid":"https://orcid.org/0000-0001-7013-9081"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Wan","raw_affiliation_strings":["University of Electronic Science and Technology of China, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-7013-9081","affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Shenzhen, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.4922,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93797925,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"18","issue":"2s","first_page":"1","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9983999729156494,"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":0.9983999729156494,"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":0.9897000193595886,"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/T13731","display_name":"Advanced Computing and Algorithms","score":0.9467999935150146,"subfield":{"id":"https://openalex.org/subfields/3322","display_name":"Urban Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sorting","display_name":"Sorting","score":0.6677634119987488},{"id":"https://openalex.org/keywords/chip","display_name":"Chip","score":0.6005361080169678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980600118637085},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.5428085923194885},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3616282641887665},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.35984840989112854},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.18096348643302917}],"concepts":[{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.6677634119987488},{"id":"https://openalex.org/C165005293","wikidata":"https://www.wikidata.org/wiki/Q1074500","display_name":"Chip","level":2,"score":0.6005361080169678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980600118637085},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.5428085923194885},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3616282641887665},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.35984840989112854},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.18096348643302917},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3554737","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3554737","pdf_url":null,"source":{"id":"https://openalex.org/S19610489","display_name":"ACM Transactions on Multimedia Computing Communications and Applications","issn_l":"1551-6857","issn":["1551-6857","1551-6865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Multimedia Computing, Communications, and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7764230426","display_name":null,"funder_award_id":"61673259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1443198733","https://openalex.org/W1480067276","https://openalex.org/W1527278098","https://openalex.org/W1565610649","https://openalex.org/W2000970244","https://openalex.org/W2007187232","https://openalex.org/W2009767195","https://openalex.org/W2022279610","https://openalex.org/W2061151616","https://openalex.org/W2066105073","https://openalex.org/W2070712754","https://openalex.org/W2082381659","https://openalex.org/W2127436605","https://openalex.org/W2129021863","https://openalex.org/W2138245649","https://openalex.org/W2147018083","https://openalex.org/W2260960995","https://openalex.org/W2348797658","https://openalex.org/W2605056515","https://openalex.org/W2781046831","https://openalex.org/W2795302640","https://openalex.org/W2806922192","https://openalex.org/W2886982273","https://openalex.org/W2915149867","https://openalex.org/W2935813911","https://openalex.org/W2949068435","https://openalex.org/W2995705713","https://openalex.org/W2998709384","https://openalex.org/W3084352865","https://openalex.org/W3093397767","https://openalex.org/W3109340983","https://openalex.org/W3128629095","https://openalex.org/W3147867793","https://openalex.org/W3160380793","https://openalex.org/W3175186117","https://openalex.org/W3175771944","https://openalex.org/W3176234924","https://openalex.org/W3177184990","https://openalex.org/W3202345808","https://openalex.org/W4281737392","https://openalex.org/W4297294775"],"related_works":["https://openalex.org/W2739612537","https://openalex.org/W2349174696","https://openalex.org/W2360241746","https://openalex.org/W4313041667","https://openalex.org/W2767599893","https://openalex.org/W2381572297","https://openalex.org/W3114770763","https://openalex.org/W2106741186","https://openalex.org/W2368890809","https://openalex.org/W4298146145"],"abstract_inverted_index":{"Atrial":[0],"fibrillation":[1],"detection":[2],"(AFD)":[3],"has":[4,110],"attracted":[5],"much":[6],"attention":[7],"in":[8,52,77],"the":[9,42,59,63,69,72,78,102,106,120,133,136,146,149],"field":[10],"of":[11,71,86,125,135,148],"embedded":[12,30,83,151],"systems.":[13],"In":[14,56],"this":[15],"study,":[16],"we":[17],"propose":[18],"a":[19,87,111],"sorting":[20],"fuzzy":[21,43],"min-max":[22,44],"(SFMM)":[23],"model,":[24,62],"and":[25,90,105],"then":[26],"develop":[27],"an":[28,91],"SFMM-based":[29,150],"system":[31,84],"for":[32],"AF":[33,142],"detection.":[34],"The":[35,82,96],"proposed":[36,64],"SFMM":[37,65,137],"model":[38,46,66],"is":[39,99,117],"essentially":[40],"enhanced":[41],"(FMM)":[45],"that":[47],"have":[48],"been":[49],"successfully":[50],"applied":[51],"many":[53],"classification":[54],"fields.":[55],"comparison":[57],"with":[58],"typical":[60,79],"FMM":[61,80],"can":[67],"overcome":[68],"limitation":[70],"input":[73],"order":[74],"problem":[75],"encountered":[76],"model.":[81,138],"consists":[85],"control":[88,103],"chip":[89,98,104],"analog-digital":[92],"conversion":[93],"(ADC)":[94],"chip.":[95,122],"STM32F407":[97],"used":[100,118],"as":[101,119],"ADS1292":[107],"chip,":[108],"which":[109],"high":[112],"common-mode":[113],"rejection":[114],"ratio":[115],"(CMRR),":[116],"ADC":[121],"A":[123],"series":[124],"machine":[126],"learning":[127],"benchmarks":[128],"are":[129],"included":[130],"to":[131],"evaluate":[132],"performance":[134],"Experimental":[139],"results":[140],"on":[141],"data":[143],"further":[144],"demonstrate":[145],"effectiveness":[147],"system.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
