{"id":"https://openalex.org/W4308216541","doi":"https://doi.org/10.1109/bhi56158.2022.9926948","title":"Parallel Multi-scale convolution based prototypical network for few-shot ECG beats classification","display_name":"Parallel Multi-scale convolution based prototypical network for few-shot ECG beats classification","publication_year":2022,"publication_date":"2022-09-27","ids":{"openalex":"https://openalex.org/W4308216541","doi":"https://doi.org/10.1109/bhi56158.2022.9926948"},"language":"en","primary_location":{"id":"doi:10.1109/bhi56158.2022.9926948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi56158.2022.9926948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5084752971","display_name":"Zicong Li","orcid":"https://orcid.org/0000-0002-6997-4669"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zicong Li","raw_affiliation_strings":["University of Manchester,Manchester,UK","Department of Physics and Astronomy, Biological Physics Group, University of Manchester, UK","University of Manchester, Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester,Manchester,UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Department of Physics and Astronomy, Biological Physics Group, University of Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043271142","display_name":"Henggui Zhang","orcid":"https://orcid.org/0000-0002-0863-5807"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Henggui Zhang","raw_affiliation_strings":["University of Manchester,Manchester,UK","Department of Physics and Astronomy, Biological Physics Group, University of Manchester, UK","University of Manchester, Manchester, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester,Manchester,UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"Department of Physics and Astronomy, Biological Physics Group, University of Manchester, UK","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"University of Manchester, Manchester, UK","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I28407311"],"apc_list":null,"apc_paid":null,"fwci":1.4838,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.80929332,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9976000189781189,"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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/convolution","display_name":"Convolution (computer science)","score":0.8243529796600342},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7302485704421997},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6435822248458862},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5600653886795044},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5053420662879944},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.49401217699050903},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4906691312789917},{"id":"https://openalex.org/keywords/single-shot","display_name":"Single shot","score":0.4827277362346649},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.4745422303676605},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47405120730400085},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.4135051369667053},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.11231696605682373},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08712965250015259}],"concepts":[{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.8243529796600342},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7302485704421997},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6435822248458862},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5600653886795044},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5053420662879944},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.49401217699050903},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4906691312789917},{"id":"https://openalex.org/C3019835501","wikidata":"https://www.wikidata.org/wiki/Q1310130","display_name":"Single shot","level":2,"score":0.4827277362346649},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.4745422303676605},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47405120730400085},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4135051369667053},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.11231696605682373},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08712965250015259},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/bhi56158.2022.9926948","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi56158.2022.9926948","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/96635715-79c4-4885-bc80-844113082d8e","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/96635715-79c4-4885-bc80-844113082d8e","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Li, Z & Zhang, H 2022, Parallel Multi-scale convolution based prototypical network for few-shot ECG beats classification. in 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE.","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/96635715-79c4-4885-bc80-844113082d8e","is_oa":false,"landing_page_url":"https://www.research.manchester.ac.uk/portal/en/publications/parallel-multiscale-convolution-based-prototypical-network-for-fewshot-ecg-beats-classification(96635715-79c4-4885-bc80-844113082d8e).html","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Li, Z & Zhang, H 2022, Parallel Multi-scale convolution based prototypical network for few-shot ECG beats classification. in 2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI). IEEE.","raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1941568226","display_name":null,"funder_award_id":"EP/J00958X/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G704554160","display_name":null,"funder_award_id":"EP/I029826/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W74684277","https://openalex.org/W2601450892","https://openalex.org/W2771148491","https://openalex.org/W2807367691","https://openalex.org/W2913789442","https://openalex.org/W2963341924","https://openalex.org/W2964105864","https://openalex.org/W2991394429","https://openalex.org/W2994720754","https://openalex.org/W2999767092","https://openalex.org/W3007969083","https://openalex.org/W3034587791","https://openalex.org/W3037655156","https://openalex.org/W3091905774","https://openalex.org/W3129254641","https://openalex.org/W6603050034","https://openalex.org/W6717697761","https://openalex.org/W6735236233","https://openalex.org/W6783596713"],"related_works":["https://openalex.org/W4312417841","https://openalex.org/W3156786002","https://openalex.org/W2738221750","https://openalex.org/W2732542196","https://openalex.org/W564581980","https://openalex.org/W3129634582","https://openalex.org/W3165266428","https://openalex.org/W4311401716","https://openalex.org/W3136411932","https://openalex.org/W3131692135"],"abstract_inverted_index":{"The":[0,97],"electrocardiogram":[1],"(ECG)":[2],"presents":[3],"essential":[4],"information":[5],"of":[6,10,39,48,68,89,112,126,144],"the":[7,11,18,46,64,74,78,82,101,110,118,123,127,136],"electrical":[8],"activity":[9],"heart":[12],"measured":[13],"by":[14],"electrodes":[15],"placed":[16],"on":[17,77],"body":[19],"surface,":[20],"forming":[21],"an":[22],"important":[23],"approach":[24],"to":[25],"diagnosing":[26],"cardiac":[27],"arrhythmias.":[28],"Although":[29],"various":[30],"deep-learning":[31],"based":[32,57],"models":[33,107],"have":[34],"been":[35],"implemented":[36],"for":[37,62,138],"auto-classification":[38,139],"arrhythmias,":[40],"limited":[41],"clinical":[42],"data":[43],"still":[44],"impedes":[45],"progress":[47],"auto-diagnosis.":[49],"This":[50],"study":[51],"presented":[52],"a":[53,86,92,141],"parallel":[54],"multi-scale":[55],"convolution":[56],"prototypical":[58,128],"network":[59,129],"(PM-CNN":[60],"ProtoNet)":[61],"processing":[63],"few-shot":[65,131],"learning":[66,132],"tasks":[67,133],"ECG":[69],"beats":[70],"classification.":[71],"By":[72],"evaluating":[73],"proposed":[75,114],"model":[76],"MIT-BIH":[79],"arrhythmia":[80],"database,":[81],"PM-CNN":[83,102,119],"ProtoNet":[84,103],"achieves":[85],"satisfying":[87],"accuracy":[88],"91.6%":[90],"in":[91,130],"2-way":[93],"10":[94],"shot":[95],"task.":[96],"comparative":[98],"results":[99],"between":[100],"and":[104],"other":[105],"state-of-art":[106],"also":[108],"demonstrate":[109],"efficiency":[111],"our":[113],"model.":[115],"In":[116],"conclusion,":[117],"structure":[120],"can":[121],"improve":[122],"classification":[124],"performance":[125],"while":[134],"having":[135],"potential":[137],"under":[140],"small":[142],"amount":[143],"medical":[145],"data.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
