{"id":"https://openalex.org/W4405489863","doi":"https://doi.org/10.1109/embc53108.2024.10781506","title":"BioAgeNet: An Age-Informed Convolutional Autoencoder for ECG Clustering Indicating Health","display_name":"BioAgeNet: An Age-Informed Convolutional Autoencoder for ECG Clustering Indicating Health","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405489863","doi":"https://doi.org/10.1109/embc53108.2024.10781506","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039457"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10781506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5074514195","display_name":"Varsha Sharma","orcid":"https://orcid.org/0000-0002-6760-6416"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varsha Sharma","raw_affiliation_strings":["TCS Research,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013973948","display_name":"Avik Ghose","orcid":"https://orcid.org/0000-0002-0733-7082"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Avik Ghose","raw_affiliation_strings":["TCS Research,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TCS Research,India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45891843,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2024","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":0.9958999752998352,"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":0.9958999752998352,"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/autoencoder","display_name":"Autoencoder","score":0.9149513244628906},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6901309490203857},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.577713131904602},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5184385776519775},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.47859498858451843},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.19826996326446533}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.9149513244628906},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6901309490203857},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.577713131904602},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5184385776519775},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.47859498858451843},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.19826996326446533}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098446","descriptor_name":"Autoencoder","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098446","descriptor_name":"Autoencoder","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000098446","descriptor_name":"Autoencoder","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":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D000375","descriptor_name":"Aging","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004562","descriptor_name":"Electrocardiography","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011788","descriptor_name":"Quality of Life","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":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc53108.2024.10781506","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10781506","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:40039457","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039457","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W82771173","https://openalex.org/W1964750397","https://openalex.org/W1968034029","https://openalex.org/W2059515884","https://openalex.org/W2079756392","https://openalex.org/W2155343234","https://openalex.org/W2599190942","https://openalex.org/W2940320374","https://openalex.org/W2970154784","https://openalex.org/W2979474933","https://openalex.org/W3027572331","https://openalex.org/W3163240942","https://openalex.org/W3195084370","https://openalex.org/W4288049494","https://openalex.org/W4313621256","https://openalex.org/W4317829512","https://openalex.org/W4365140801","https://openalex.org/W4385802875","https://openalex.org/W4389543300","https://openalex.org/W6728550200","https://openalex.org/W6855066960"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4220775285"],"abstract_inverted_index":{"Biological":[0],"Age":[1,114,117],"(BA)":[2],"indicates":[3],"the":[4,62,73,108,122,146,152,184,194,198,226],"authentic":[5],"ageing":[6,46],"progression":[7],"of":[8,16,21,38,75,110,124,148,179,197],"an":[9,59,132],"individual":[10],"in":[11,25,89,205,225],"relation":[12],"to":[13,71,144],"their":[14],"quality":[15,147],"life.":[17],"The":[18,45],"noninvasive":[19],"identification":[20],"BA":[22,39,186,196],"is":[23,69,128,188],"crucial":[24],"predicting":[26,90],"longevity":[27],"and":[28,32,42,65,98,115,165,181,187,219],"early":[29],"age-related":[30,207],"diseases":[31],"enabling":[33],"personalized":[34,223],"healthcare.":[35],"Potential":[36],"biomarkers":[37],"are":[40],"vague":[41],"need":[43],"attention.":[44],"process":[47],"stands":[48],"out":[49],"as":[50,107,121],"a":[51,158,171,177,189],"prominent":[52],"risk":[53],"factor":[54],"for":[55,85,102,192],"cardiovascular":[56,217],"diseases.":[57],"Consequently,":[58],"Electrocardiogram":[60],"(ECG),":[61],"most":[63],"popular":[64],"easily":[66],"accessible":[67],"signal,":[68],"explored":[70],"analyze":[72],"effect":[74],"age.":[76,91,154],"Numerous":[77],"studies":[78,93],"have":[79],"delved":[80],"into":[81],"supervised":[82],"deep-learning":[83],"approaches":[84],"ECG":[86,138,167,182],"analysis,":[87],"particularly":[88],"These":[92],"rely":[94],"on":[95,209,215],"regression-based":[96],"methods":[97],"necessitate":[99],"additional":[100],"analysis":[101],"extracting":[103],"health-related":[104],"insights,":[105],"such":[106],"correlation":[109],"error":[111],"between":[112],"Chronological":[113],"AI-predicted":[116],"with":[118,142,170],"mortality.":[119],"Moreover,":[120],"shortage":[123],"cardiologists'":[125],"annotated":[126],"data":[127],"apparent,":[129],"we":[130],"propose":[131],"Age-Informed":[133],"Convolutional":[134],"Autoencoder":[135],"that":[136,176],"clusters":[137],"deep":[139,166],"features":[140,168],"associated":[141],"age":[143,180],"assess":[145],"life":[149],"possessed":[150],"at":[151],"current":[153],"We":[155,174],"also":[156],"proposed":[157],"three-step":[159],"training":[160,164],"strategy":[161],"combining":[162],"model":[163],"clustering":[169],"controlled":[172],"initialization.":[173],"find":[175],"combination":[178],"reveals":[183],"heart's":[185],"contributing":[190],"biomarker":[191],"estimating":[193],"overall":[195],"body.":[199],"This":[200],"approach":[201],"marks":[202],"substantial":[203],"progress":[204],"analyzing":[206],"impacts":[208],"ECG.":[210],"It":[211],"provides":[212],"new":[213],"perspectives":[214],"different":[216],"disorders":[218],"can":[220],"potentially":[221],"transform":[222],"healthcare":[224],"future.":[227]},"counts_by_year":[],"updated_date":"2026-08-30T07:30:35.949966","created_date":"2025-10-10T00:00:00"}