{"id":"https://openalex.org/W4319585896","doi":"https://doi.org/10.1109/dsaa54385.2022.10032402","title":"Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization","display_name":"Percept U-Net: Percept Attention-based Convolutional Neural Network for Atrial Fibrillation Episode Localization","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4319585896","doi":"https://doi.org/10.1109/dsaa54385.2022.10032402"},"language":"en","primary_location":{"id":"doi:10.1109/dsaa54385.2022.10032402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032402","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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/A5026558223","display_name":"Ying An","orcid":"https://orcid.org/0000-0003-0574-5135"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ying An","raw_affiliation_strings":["Central South University,Big Data Institute,Changsha,China","Big Data Institute, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,Big Data Institute,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Big Data Institute, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087768714","display_name":"Lebing Pan","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lebing Pan","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109297259","display_name":"Lin Guo","orcid":"https://orcid.org/0000-0002-5602-6969"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Guo","raw_affiliation_strings":["Central South University,Big Data Institute,Changsha,China","Big Data Institute, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,Big Data Institute,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Big Data Institute, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003654071","display_name":"Xianlai Chen","orcid":"https://orcid.org/0000-0002-4338-015X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianlai Chen","raw_affiliation_strings":["Central South University,Big Data Institute,Changsha,China","Big Data Institute, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,Big Data Institute,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Big Data Institute, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025886241","display_name":"Yu Shen","orcid":"https://orcid.org/0000-0001-5601-0572"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Shen","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China","School of Computer Science and Engineering, Central South University, Changsha, China"],"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026558223"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.2984,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48648649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9995999932289124,"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":0.9995999932289124,"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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9890000224113464,"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":0.9764000177383423,"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/percept","display_name":"Percept","score":0.7462887167930603},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.725908637046814},{"id":"https://openalex.org/keywords/heartbeat","display_name":"Heartbeat","score":0.71117103099823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4835071861743927},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4188162386417389},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3905852437019348},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.06423893570899963}],"concepts":[{"id":"https://openalex.org/C2779687425","wikidata":"https://www.wikidata.org/wiki/Q7166998","display_name":"Percept","level":3,"score":0.7462887167930603},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.725908637046814},{"id":"https://openalex.org/C13852961","wikidata":"https://www.wikidata.org/wiki/Q17021880","display_name":"Heartbeat","level":2,"score":0.71117103099823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4835071861743927},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4188162386417389},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3905852437019348},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.06423893570899963},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsaa54385.2022.10032402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsaa54385.2022.10032402","pdf_url":null,"source":{"id":"https://openalex.org/S4363608340","display_name":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","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":"2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1537095672","https://openalex.org/W1686810756","https://openalex.org/W1901129140","https://openalex.org/W1972142091","https://openalex.org/W2008450235","https://openalex.org/W2114775432","https://openalex.org/W2620656322","https://openalex.org/W2771148491","https://openalex.org/W2798122215","https://openalex.org/W2886982273","https://openalex.org/W2891342985","https://openalex.org/W2906113915","https://openalex.org/W2951632519","https://openalex.org/W2963925437","https://openalex.org/W2965435808","https://openalex.org/W2966850485","https://openalex.org/W2969929892","https://openalex.org/W2979580092","https://openalex.org/W2991769538","https://openalex.org/W2996290406","https://openalex.org/W2996483272","https://openalex.org/W3033279374","https://openalex.org/W3093397767","https://openalex.org/W3099916295","https://openalex.org/W3138516171","https://openalex.org/W3156179199","https://openalex.org/W3162994045","https://openalex.org/W3173656828","https://openalex.org/W3199766309","https://openalex.org/W4214593444","https://openalex.org/W4385245566","https://openalex.org/W6922454433"],"related_works":["https://openalex.org/W2113439187","https://openalex.org/W2192888808","https://openalex.org/W4385543909","https://openalex.org/W2067901665","https://openalex.org/W3039320222","https://openalex.org/W3199640442","https://openalex.org/W3006928808","https://openalex.org/W2053322856","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Early":[0],"detection":[1],"of":[2,22,35,76,89,98,124],"paroxysmal":[3],"atrial":[4],"fibrillation":[5],"(AF)":[6],"is":[7],"valuable":[8],"in":[9,25,101,160],"determining":[10],"treatment":[11],"options":[12],"and":[13,16,20,69,122,175,179,191,198],"diagnosing":[14],"complications,":[15],"identifying":[17],"the":[18,26,33,90,96,102,112,120,145,153,171],"number":[19],"duration":[21],"AF":[23,37,142],"episodes":[24,143],"dynamic":[27],"electrocardiogram":[28],"(ECG)":[29],"may":[30],"help":[31],"advance":[32],"study":[34],"pathological":[36],"mechanisms.":[38],"Current":[39],"computer-aided":[40],"ECG":[41,60,77,146],"signal":[42],"diagnosis":[43],"methods":[44,52,71,109],"can":[45,84,110],"be":[46],"divided":[47],"into":[48],"two":[49],"categories:":[50],"(a)":[51],"based":[53,72],"on":[54,73],"every":[55],"single":[56],"heartbeat":[57,100],"split":[58],"from":[59,66,144],"records,":[61],"which":[62,83],"cannot":[63,94],"use":[64],"information":[65],"adjacent":[67],"heartbeats,":[68,82],"(b)":[70],"a":[74,87,105],"segment":[75,92],"records":[78],"that":[79,185],"contain":[80],"multiple":[81],"only":[85],"give":[86],"classification":[88,190],"whole":[91],"but":[93],"identify":[95,119],"categories":[97],"each":[99],"record":[103],"at":[104],"fine":[106],"granularity.":[107],"Few":[108],"exploit":[111],"relationship":[113],"between":[114,177],"heartbeats":[115],"as":[116,118],"well":[117],"onset":[121],"end":[123],"disease":[125],"episodes.":[126],"To":[127],"fill":[128],"this":[129,149],"gap,":[130],"we":[131,151],"designed":[132],"an":[133],"improved":[134],"U-Net":[135,139,161,187],"model":[136],"named":[137],"Percept":[138,186],"to":[140,156,162,173],"detect":[141,174],"records.":[147],"In":[148],"model,":[150],"propose":[152],"percept":[154],"attention":[155],"replace":[157],"skip":[158],"connections":[159],"integrate":[163],"low-level":[164],"features":[165],"with":[166,194],"high-level":[167],"features,":[168],"thereby":[169],"enhancing":[170],"ability":[172],"discriminate":[176],"normal":[178],"abnormal":[180],"heartbeats.":[181],"Experimental":[182],"results":[183],"show":[184],"achieves":[188],"higher":[189],"localization":[192],"accuracy":[193],"less":[195],"computational":[196],"overhead":[197],"paraments":[199],"than":[200],"other":[201],"comparative":[202],"methods.":[203]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}