{"id":"https://openalex.org/W4399875059","doi":"https://doi.org/10.1109/access.2024.3417344","title":"A Generative Elastic Network Method for R Peak Detection Suitable for Few-Shot Learning","display_name":"A Generative Elastic Network Method for R Peak Detection Suitable for Few-Shot Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399875059","doi":"https://doi.org/10.1109/access.2024.3417344"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3417344","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3417344","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2024.3417344","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107195095","display_name":"Nan Xiao","orcid":"https://orcid.org/0009-0005-7651-9137"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Nan Xiao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046414484","display_name":"Kun Zhao","orcid":"https://orcid.org/0000-0002-5196-100X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhao","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101210608","display_name":"Ruize Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruize Ma","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103158480","display_name":"Hao Zhang","orcid":"https://orcid.org/0009-0008-2750-423X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210119392","display_name":"Institute of Microelectronics","ror":"https://ror.org/02s6gs133","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210119392"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China","institution_ids":["https://openalex.org/I4210119392","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5107195095"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210119392"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5352,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6295664,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"167049","last_page":"167058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.6668000221252441,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10271","display_name":"Seismic Imaging and Inversion Techniques","score":0.6668000221252441,"subfield":{"id":"https://openalex.org/subfields/1908","display_name":"Geophysics"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.6360999941825867,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10688","display_name":"Image and Signal Denoising Methods","score":0.6266999840736389,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.7069106101989746},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6923755407333374},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5559431314468384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5526915192604065},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.5252342224121094},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.44028475880622864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.388807475566864},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33183300495147705},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.09494924545288086}],"concepts":[{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.7069106101989746},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6923755407333374},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5559431314468384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5526915192604065},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.5252342224121094},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.44028475880622864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.388807475566864},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33183300495147705},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.09494924545288086},{"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/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3417344","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3417344","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:d2859ca70a30413fb183df918c0a8239","is_oa":true,"landing_page_url":"https://doaj.org/article/d2859ca70a30413fb183df918c0a8239","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 167049-167058 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3417344","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3417344","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G5675147299","display_name":null,"funder_award_id":"2023YFC2410602","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"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":30,"referenced_works":["https://openalex.org/W1984316306","https://openalex.org/W2095409369","https://openalex.org/W2149298154","https://openalex.org/W2166704538","https://openalex.org/W2473675820","https://openalex.org/W2789266623","https://openalex.org/W2795302640","https://openalex.org/W2897717822","https://openalex.org/W2908628565","https://openalex.org/W2942231644","https://openalex.org/W2963943197","https://openalex.org/W3014509131","https://openalex.org/W3080427797","https://openalex.org/W3082645995","https://openalex.org/W3085439927","https://openalex.org/W3091994574","https://openalex.org/W3163842339","https://openalex.org/W3185818605","https://openalex.org/W4220763509","https://openalex.org/W4224285140","https://openalex.org/W4283791586","https://openalex.org/W4293534759","https://openalex.org/W4294215205","https://openalex.org/W4313167301","https://openalex.org/W4319163914","https://openalex.org/W4375929055","https://openalex.org/W4386071756","https://openalex.org/W6717697761","https://openalex.org/W6736057607","https://openalex.org/W6750254146"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4365211920","https://openalex.org/W4292659306","https://openalex.org/W3014948380","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352"],"abstract_inverted_index":{"R":[0,18,58],"peak":[1,19,59],"detection":[2,60],"is":[3,39,69,121],"fundamental":[4],"to":[5,42],"the":[6,75,93,104],"analysis":[7],"of":[8,32,48,92,109],"long-term":[9],"electrocardiogram":[10],"(ECG)":[11],"signals.":[12],"Despite":[13],"their":[14],"significant":[15],"success":[16],"in":[17,51],"detection,":[20],"neural":[21],"networks":[22],"based":[23,62],"on":[24,63,106,122],"statistical":[25],"learning":[26],"usual":[27],"require":[28],"more":[29],"than":[30,90],"50%":[31],"all":[33],"data":[34,50,94,110],"for":[35,71,95,99,111],"training.":[36],"However,":[37],"it":[38],"often":[40],"difficult":[41],"provide":[43],"such":[44],"a":[45,56],"high":[46],"proportion":[47],"training":[49,96,112],"practice.":[52],"This":[53],"paper":[54],"proposes":[55],"novel":[57],"method":[61,81],"Generative":[64],"Elastic":[65],"Network":[66],"(GEN),":[67],"which":[68],"suitable":[70],"few-shot":[72],"learning.":[73],"Utilizing":[74],"Lobachevsky":[76],"University":[77],"Database":[78],"(LUDB),":[79],"this":[80],"achieves":[82],"an":[83,117],"accuracy":[84,118],"exceeding":[85],"99%":[86],"by":[87],"using":[88],"less":[89],"3%":[91],"and":[97,113],"14%":[98],"validation.":[100],"It":[101],"dramatically":[102],"reduces":[103],"dependency":[105],"large":[107],"volumes":[108],"validation,":[114],"while":[115],"preserving":[116],"level":[119],"that":[120],"par":[123],"with":[124],"existing":[125],"methods.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}