{"id":"https://openalex.org/W4391326524","doi":"https://doi.org/10.1109/tbme.2024.3359752","title":"The Deep-Match Framework: R-Peak Detection in Ear-ECG","display_name":"The Deep-Match Framework: R-Peak Detection in Ear-ECG","publication_year":2024,"publication_date":"2024-01-29","ids":{"openalex":"https://openalex.org/W4391326524","doi":"https://doi.org/10.1109/tbme.2024.3359752","pmid":"https://pubmed.ncbi.nlm.nih.gov/38285581"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2024.3359752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3359752","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5033945689","display_name":"Harry J. Davies","orcid":"https://orcid.org/0000-0001-7506-2300"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Harry J. Davies","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057271576","display_name":"Ghena Hammour","orcid":"https://orcid.org/0000-0003-3891-4783"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ghena Hammour","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089116355","display_name":"Marek \u017byli\u0144ski","orcid":null},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Marek Zylinski","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080959694","display_name":"Amir Nassibi","orcid":"https://orcid.org/0000-0002-2929-0246"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Amir Nassibi","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, U.K","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074877434","display_name":"Ljubi\u0161a Stankovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Ljubi\u0161a Stankovi\u0107","raw_affiliation_strings":["University of Montenegro, Montenegro"],"affiliations":[{"raw_affiliation_string":"University of Montenegro, Montenegro","institution_ids":["https://openalex.org/I5936373"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103001848","display_name":"Danilo P. Mandic","orcid":"https://orcid.org/0000-0001-8432-3963"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Danilo P. Mandic","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College London, U.K"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College London, U.K","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5033945689"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":4.4264,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.94966937,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"71","issue":"7","first_page":"2014","last_page":"2021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9740999937057495,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48305779695510864},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4316873550415039},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37025052309036255},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.34791892766952515},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.33524394035339355},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3232586979866028}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48305779695510864},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4316873550415039},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37025052309036255},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.34791892766952515},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.33524394035339355},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3232586979866028}],"mesh":[{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000076251","descriptor_name":"Wearable Electronic Devices","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004423","descriptor_name":"Ear","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004423","descriptor_name":"Ear","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004423","descriptor_name":"Ear","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004423","descriptor_name":"Ear","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004423","descriptor_name":"Ear","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004423","descriptor_name":"Ear","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tbme.2024.3359752","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2024.3359752","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:38285581","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38285581","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W157308125","https://openalex.org/W1556346377","https://openalex.org/W1978962433","https://openalex.org/W2117911070","https://openalex.org/W2120716022","https://openalex.org/W2129257802","https://openalex.org/W2133701212","https://openalex.org/W2141192467","https://openalex.org/W2162273778","https://openalex.org/W2170849271","https://openalex.org/W2218268979","https://openalex.org/W2519620145","https://openalex.org/W2742239524","https://openalex.org/W2769516386","https://openalex.org/W2792140820","https://openalex.org/W2798146972","https://openalex.org/W2941894772","https://openalex.org/W2943137155","https://openalex.org/W2979434413","https://openalex.org/W3193645636","https://openalex.org/W3204424416","https://openalex.org/W3205446975","https://openalex.org/W4283741176","https://openalex.org/W4290973468","https://openalex.org/W4306799003","https://openalex.org/W4317440148","https://openalex.org/W4376602049","https://openalex.org/W4389537783","https://openalex.org/W4390540085","https://openalex.org/W6846348639","https://openalex.org/W6849186635"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W4303457083","https://openalex.org/W2131146434","https://openalex.org/W2951359407","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"The":[0,90,146,167,198],"Ear-ECG":[1,36,86,236],"provides":[2,163],"a":[3,41,66,112,156,201,208,227],"continuous":[4],"Lead":[5],"I":[6],"like":[7],"electrocardiogram":[8],"(ECG)":[9],"by":[10,19,35,40,52,64],"measuring":[11],"the":[12,27,53,72,83,115,125,134,143,161,187,232,242],"potential":[13],"difference":[14],"related":[15],"to":[16,60,129,142],"heart":[17],"activity":[18],"electrodes":[20],"which":[21,160],"are":[22],"embedded":[23],"within":[24],"earphones.":[25],"However,":[26],"significant":[28],"increase":[29],"in":[30,43,78,87,124,195,248],"wearability":[31],"and":[32,103,138,207],"comfort":[33],"enabled":[34],"is":[37,50,152,172],"often":[38],"accompanied":[39],"degradation":[42],"signal":[44],"quality":[45],"-":[46],"an":[47,94,100,104,121,181],"obstacle":[48],"that":[49],"shared":[51],"majority":[54],"of":[55,76,85,93,149,159,184,205,211,235,244],"wearable":[56,79],"technologies.":[57],"We":[58],"aim":[59],"resolve":[61],"this":[62,222],"issue":[63],"introducing":[65],"Deep":[67,169],"Matched":[68,113,170],"Filter":[69,171],"(Deep-MF)":[70],"for":[71,118,192,231],"highly":[73],"accurate":[74],"detection":[75,194],"R-peaks":[77],"ECG,":[80],"thus":[81],"enhancing":[82],"utility":[84],"real-world":[88,233],"scenarios.":[89],"Deep-MF":[91,188,199],"consists":[92],"encoder":[95,116],"stage,":[96],"partially":[97],"initialised":[98],"with":[99,120,133,180,186,217],"ECG":[101,122],"template,":[102],"R-peak":[105,150,157,165,193,203],"classifier":[106],"stage.":[107],"Through":[108],"its":[109,239],"operation":[110],"as":[111,226],"Filter,":[114],"searches":[117],"matches":[119,132],"template":[123],"input":[126],"signal,":[127],"prior":[128],"filtering":[130],"these":[131],"subsequent":[135],"convolutional":[136],"layers":[137],"selecting":[139],"peaks":[140],"corresponding":[141],"ground-truth":[144],"ECG.":[145,197],"latent":[147],"representation":[148],"information":[151],"then":[153],"fed":[154],"into":[155],"classifier,":[158],"output":[162],"precise":[164],"locations.":[166],"proposed":[168],"evaluated":[173,216],"using":[174],"leave-one-subject-out":[175,218],"cross-validation":[176],"over":[177],"36":[178],"subjects":[179,214],"age":[182],"range":[183],"18-75,":[185],"outperforming":[189],"existing":[190],"algorithms":[191],"noisy":[196],"achieves":[200],"median":[202,209],"recall":[204],"94.9%":[206],"precision":[210],"91.2%":[212],"across":[213],"when":[215],"cross":[219],"validation.":[220],"Overall,":[221],"Deep-Match":[223],"framework":[224],"serves":[225],"valuable":[228],"step":[229],"forward":[230],"functionality":[234],"and,":[237],"through":[238],"interpretable":[240],"operation,":[241],"acceptance":[243],"deep":[245],"learning":[246],"models":[247],"e-Health.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
