{"id":"https://openalex.org/W4320342217","doi":"https://doi.org/10.48550/arxiv.2302.03731","title":"MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation","display_name":"MMA-RNN: A Multi-level Multi-task Attention-based Recurrent Neural Network for Discrimination and Localization of Atrial Fibrillation","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4320342217","doi":"https://doi.org/10.48550/arxiv.2302.03731"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2302.03731","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2302.03731","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5041025969","display_name":"Yifan Sun","orcid":"https://orcid.org/0000-0003-3532-6521"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sun, Yifan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048753906","display_name":"Jingyan Shen","orcid":"https://orcid.org/0000-0003-4609-0251"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shen, Jingyan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062555267","display_name":"Yunfan Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jiang, Yunfan","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101687775","display_name":"Zhaohui Huang","orcid":"https://orcid.org/0000-0001-6869-7965"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Zhaohui","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011263468","display_name":"Minsheng Hao","orcid":"https://orcid.org/0000-0001-6749-5659"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hao, Minsheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081242795","display_name":"Xuegong Zhang","orcid":"https://orcid.org/0000-0002-9684-5643"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xuegong","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":68},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9972,"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":0.9972,"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":0.9631,"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/T10065","display_name":"Atrial Fibrillation Management and Outcomes","score":0.9445,"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":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7598726},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.7287647},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.60639215},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5353952},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.49904275},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49593052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4914328},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4322635},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3817225},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35275948},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34562168},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.12989935},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11044052},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08688825},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2302.03731","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2302.03731","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2302.03731","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.53},{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.41}],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4298287631","https://openalex.org/W4225394202","https://openalex.org/W3036642985","https://openalex.org/W2982145560","https://openalex.org/W2969450769","https://openalex.org/W2964335273","https://openalex.org/W2953061907","https://openalex.org/W2916669046","https://openalex.org/W2326447594","https://openalex.org/W1847088711"],"abstract_inverted_index":{"The":[0,146],"automatic":[1],"detection":[2],"of":[3,64,107,111,177,184],"atrial":[4,48,52],"fibrillation":[5,49],"based":[6,120],"on":[7,45,57,75,103,121,166],"electrocardiograph":[8],"(ECG)":[9],"signals":[10,25],"has":[11,41],"received":[12],"wide":[13],"attention":[14,134],"both":[15],"clinically":[16],"and":[17,31,37,54,61,105,128,133,136,158,170,194],"practically.":[18],"It":[19,67],"is":[20,68,148],"challenging":[21],"to":[22,35,72,154,186],"process":[23],"ECG":[24],"with":[26,142],"cyclical":[27],"pattern,":[28],"varying":[29],"length":[30],"unstable":[32],"quality":[33],"due":[34],"noise":[36],"distortion.":[38],"Besides,":[39],"there":[40],"been":[42],"insufficient":[43],"research":[44],"separating":[46],"persistent":[47],"from":[50,87],"paroxysmal":[51],"fibrillation,":[53],"little":[55],"discussion":[56],"locating":[58],"the":[59,84,93,108,138,171,174,181],"onsets":[60],"end":[62],"points":[63],"AF":[65,112,192],"episodes.":[66,113],"even":[69],"more":[70],"arduous":[71],"perform":[73],"well":[74],"these":[76],"two":[77,139],"distinct":[78],"but":[79],"interrelated":[80],"tasks,":[81],"while":[82],"avoiding":[83],"mistakes":[85],"inherent":[86],"stage-by-stage":[88],"approaches.":[89],"This":[90],"paper":[91],"proposes":[92],"Multi-level":[94],"Multi-task":[95],"Attention-based":[96],"Recurrent":[97],"Neural":[98],"Network":[99,131],"for":[100,190],"three-class":[101],"discrimination":[102],"patients":[104],"localization":[106],"exact":[109],"timing":[110],"Our":[114],"model":[115,147],"captures":[116],"three-level":[117],"sequential":[118],"features":[119],"a":[122,143],"hierarchical":[123],"architecture":[124],"utilizing":[125],"Bidirectional":[126],"Long":[127],"Short-Term":[129],"Memory":[130],"(Bi-LSTM)":[132],"layers,":[135],"accomplishes":[137],"tasks":[140],"simultaneously":[141],"multi-head":[144],"classifier.":[145],"designed":[149],"as":[150],"an":[151],"end-to-end":[152],"framework":[153],"enhance":[155],"information":[156],"interaction":[157],"reduce":[159],"error":[160],"accumulation.":[161],"Finally,":[162],"we":[163],"conduct":[164],"experiments":[165],"CPSC":[167],"2021":[168],"dataset":[169],"result":[172],"demonstrates":[173],"superior":[175],"performance":[176],"our":[178],"method,":[179],"indicating":[180],"potential":[182],"application":[183],"MMA-RNN":[185],"wearable":[187],"mobile":[188],"devices":[189],"routine":[191],"monitoring":[193],"early":[195],"diagnosis.":[196]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4320342217","counts_by_year":[],"updated_date":"2024-12-07T18:14:47.194810","created_date":"2023-02-13"}