{"id":"https://openalex.org/W4383501669","doi":"https://doi.org/10.1109/aicas57966.2023.10168645","title":"A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG","display_name":"A Lightweight Convolutional Neural Network for Atrial Fibrillation Detection Using Dual-Channel Binary Features from Single-Lead Short ECG","publication_year":2023,"publication_date":"2023-06-11","ids":{"openalex":"https://openalex.org/W4383501669","doi":"https://doi.org/10.1109/aicas57966.2023.10168645"},"language":"en","primary_location":{"id":"doi:10.1109/aicas57966.2023.10168645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas57966.2023.10168645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","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/A5100347853","display_name":"Jiahao Liu","orcid":"https://orcid.org/0000-0002-7776-2439"},"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":true,"raw_author_name":"Jiahao Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078990142","display_name":"Xiao Liu","orcid":"https://orcid.org/0000-0002-5570-289X"},"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":"Xiao Liu","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101543507","display_name":"Liang Zhou","orcid":"https://orcid.org/0000-0002-5957-2674"},"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":"Liang Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038647640","display_name":"Liang Chang","orcid":"https://orcid.org/0000-0002-6685-5576"},"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":"Liang Chang","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101440489","display_name":"Jun Zhou","orcid":"https://orcid.org/0000-0003-2098-9621"},"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":"Jun Zhou","raw_affiliation_strings":["University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731"],"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China,School of Information and Communication Engineering,Chengdu,China,611731","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100347853"],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":null,"apc_paid":null,"fwci":0.2268,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.56942357,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9983000159263611,"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/T11217","display_name":"Cardiac Arrhythmias and Treatments","score":0.9840999841690063,"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/computer-science","display_name":"Computer science","score":0.7318979501724243},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6318035125732422},{"id":"https://openalex.org/keywords/atrial-fibrillation","display_name":"Atrial fibrillation","score":0.6314906477928162},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5577787160873413},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.47420600056648254},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.45200082659721375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45079073309898376},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44880229234695435},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.4427960216999054},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43871521949768066},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4162397086620331},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36633357405662537},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.25028544664382935},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.18515294790267944},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.17005795240402222},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1666623055934906},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11922752857208252}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7318979501724243},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6318035125732422},{"id":"https://openalex.org/C2779161974","wikidata":"https://www.wikidata.org/wiki/Q815819","display_name":"Atrial fibrillation","level":2,"score":0.6314906477928162},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5577787160873413},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.47420600056648254},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.45200082659721375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45079073309898376},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44880229234695435},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.4427960216999054},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43871521949768066},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4162397086620331},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36633357405662537},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.25028544664382935},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.18515294790267944},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.17005795240402222},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1666623055934906},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11922752857208252}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aicas57966.2023.10168645","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aicas57966.2023.10168645","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.7599999904632568}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1854569936","https://openalex.org/W1944792747","https://openalex.org/W2071437755","https://openalex.org/W2074334843","https://openalex.org/W2099642981","https://openalex.org/W2162273778","https://openalex.org/W2162975087","https://openalex.org/W2164861810","https://openalex.org/W2272857005","https://openalex.org/W2338162851","https://openalex.org/W2887119478","https://openalex.org/W2963163009","https://openalex.org/W2979893065","https://openalex.org/W3037422146","https://openalex.org/W3186387302","https://openalex.org/W3188047434","https://openalex.org/W3206961180","https://openalex.org/W4211135485","https://openalex.org/W4285740536","https://openalex.org/W4308773344","https://openalex.org/W6799773209"],"related_works":["https://openalex.org/W2916669046","https://openalex.org/W2802841177","https://openalex.org/W2047263140","https://openalex.org/W2518330835","https://openalex.org/W2079818187","https://openalex.org/W2049139474","https://openalex.org/W2404845223","https://openalex.org/W2120413119","https://openalex.org/W2534666156","https://openalex.org/W3202613528"],"abstract_inverted_index":{"Atrial":[0],"fibrillation":[1],"(AF)":[2],"is":[3,53,71,142],"a":[4,63,74,139],"prevalent":[5],"cardiovascular":[6],"disease":[7],"in":[8,32,60,146],"the":[9,13,22,97,102],"elderly,":[10],"significantly":[11],"increasing":[12],"risk":[14],"of":[15],"stroke":[16],"and":[17,45,90,94,108,131],"heart":[18],"failure,":[19],"etc.":[20],"While":[21],"artificial":[23],"neural":[24,66],"network":[25,67],"(ANN)":[26],"has":[27],"recently":[28],"demonstrated":[29],"high":[30,37,87],"accuracy":[31,89],"ECG-based":[33],"AF":[34,69,113,152],"detection,":[35],"its":[36],"computation":[38,92],"complexity":[39],"makes":[40],"it":[41,141],"challenging":[42],"for":[43,55,68,112,136,144,150],"real-time":[44],"long-term":[46,151],"monitoring":[47],"on":[48,96],"low-power":[49,147],"wearable":[50,148],"devices,":[51],"which":[52],"critical":[54],"detecting":[56],"paroxysmal":[57],"AF.":[58],"Therefore,":[59],"this":[61,116],"work,":[62],"lightweight":[64],"convolutional":[65],"detection":[70],"proposed":[72,103],"using":[73],"dual-channel":[75],"binary":[76],"features":[77],"extraction":[78],"technique":[79],"from":[80],"single-lead":[81],"short":[82],"ECG":[83],"to":[84,124],"achieve":[85],"both":[86],"classification":[88],"low":[91],"complexity,":[93],"evaluated":[95],"2017":[98],"PhysioNet/CinC":[99],"Challenge":[100],"dataset,":[101],"method":[104],"achieves":[105],"93.6%":[106],"sensitivity":[107],"0.81":[109],"F1":[110],"score":[111],"detection.":[114],"Moreover,":[115],"design":[117],"consumes":[118],"only":[119,132],"1.83M":[120],"parameters,":[121],"achieving":[122],"up":[123],"27x":[125],"reductions":[126],"compared":[127],"with":[128],"prior":[129],"works,":[130],"needs":[133],"57M":[134],"MACs":[135],"calculation.":[137],"As":[138],"result,":[140],"suitable":[143],"deployment":[145],"devices":[149],"monitoring.":[153]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}