{"id":"https://openalex.org/W4385695832","doi":"https://doi.org/10.1145/3586139.3586148","title":"A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis","display_name":"A Deep Learning approach to infer morphological characteristics of the heart from cardiac sound analysis","publication_year":2023,"publication_date":"2023-01-13","ids":{"openalex":"https://openalex.org/W4385695832","doi":"https://doi.org/10.1145/3586139.3586148"},"language":"en","primary_location":{"id":"doi:10.1145/3586139.3586148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3586139.3586148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3586139.3586148","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Bioscience Biochemistry and Bioinformatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3586139.3586148","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054960351","display_name":"Rui Camacho","orcid":"https://orcid.org/0000-0003-0940-3554"},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]},{"id":"https://openalex.org/I4210166615","display_name":"INESC TEC","ror":"https://ror.org/05fa8ka61","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210125590","https://openalex.org/I4210166615"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Rui Camacho","raw_affiliation_strings":["Department of Informatics Engineering, Faculdade de Engenharia da Universidade do Porto, Portugal and Institute for Systems and Computer Engineering, Technology and Science, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-0940-3554","affiliations":[{"raw_affiliation_string":"Department of Informatics Engineering, Faculdade de Engenharia da Universidade do Porto, Portugal and Institute for Systems and Computer Engineering, Technology and Science, Portugal","institution_ids":["https://openalex.org/I4210166615","https://openalex.org/I182534213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048091232","display_name":"Jorge Oliveira","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153204","display_name":"Universidade Portucalense","ror":"https://ror.org/05wm6p530","country_code":"PT","type":"education","lineage":["https://openalex.org/I4210153204"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Jorge Oliveira","raw_affiliation_strings":["Universidade Portucalense, Portugal"],"raw_orcid":"https://orcid.org/0000-0002-3190-8367","affiliations":[{"raw_affiliation_string":"Universidade Portucalense, Portugal","institution_ids":["https://openalex.org/I4210153204"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101477161","display_name":"Lu\u00eds Andrade","orcid":null},"institutions":[{"id":"https://openalex.org/I182534213","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612","country_code":"PT","type":"education","lineage":["https://openalex.org/I182534213"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Luis Andrade","raw_affiliation_strings":["Faculdade de Engenharia da Universidade do Porto, Portugal"],"raw_orcid":"https://orcid.org/0009-0000-6269-2178","affiliations":[{"raw_affiliation_string":"Faculdade de Engenharia da Universidade do Porto, Portugal","institution_ids":["https://openalex.org/I182534213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054960351"],"corresponding_institution_ids":["https://openalex.org/I182534213","https://openalex.org/I4210166615"],"apc_list":null,"apc_paid":null,"fwci":0.755,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.75368096,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"63","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":1.0,"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/auscultation","display_name":"Auscultation","score":0.6473838090896606},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5577608346939087},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5296656489372253},{"id":"https://openalex.org/keywords/heart-murmur","display_name":"Heart murmur","score":0.5023627281188965},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44882306456565857},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4217381179332733},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3315856456756592},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.20105800032615662},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.174582839012146}],"concepts":[{"id":"https://openalex.org/C2777324038","wikidata":"https://www.wikidata.org/wiki/Q779054","display_name":"Auscultation","level":2,"score":0.6473838090896606},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5577608346939087},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5296656489372253},{"id":"https://openalex.org/C2780379053","wikidata":"https://www.wikidata.org/wiki/Q1060911","display_name":"Heart murmur","level":2,"score":0.5023627281188965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44882306456565857},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4217381179332733},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3315856456756592},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.20105800032615662},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.174582839012146}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3586139.3586148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3586139.3586148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3586139.3586148","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Bioscience Biochemistry and Bioinformatics","raw_type":"proceedings-article"},{"id":"pmh:oai:repositorio-aberto.up.pt:10216/146209","is_oa":true,"landing_page_url":"https://hdl.handle.net/10216/146209","pdf_url":null,"source":{"id":"https://openalex.org/S4306401934","display_name":"Open Repository of the University of Porto (University of Porto)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I182534213","host_organization_name":"Universidade do Porto","host_organization_lineage":["https://openalex.org/I182534213"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"master thesis"},{"id":"doi:10.34626/ct3b-9k71","is_oa":true,"landing_page_url":"https://doi.org/10.34626/ct3b-9k71","pdf_url":null,"source":{"id":"https://openalex.org/S7407051329","display_name":"Universidade do Porto","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"thesis"}],"best_oa_location":{"id":"doi:10.1145/3586139.3586148","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3586139.3586148","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3586139.3586148","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Conference on Bioscience Biochemistry and Bioinformatics","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.5899999737739563,"display_name":"No poverty","id":"https://metadata.un.org/sdg/1"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324086","display_name":"Universidade do Porto","ror":"https://ror.org/043pwc612"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4385695832.pdf","grobid_xml":"https://content.openalex.org/works/W4385695832.grobid-xml"},"referenced_works_count":9,"referenced_works":["https://openalex.org/W143120077","https://openalex.org/W2594894714","https://openalex.org/W2965318968","https://openalex.org/W2985778816","https://openalex.org/W3023508701","https://openalex.org/W3081388629","https://openalex.org/W3090449816","https://openalex.org/W3191193899","https://openalex.org/W4293149277"],"related_works":["https://openalex.org/W2434918697","https://openalex.org/W2169429233","https://openalex.org/W4382117860","https://openalex.org/W4380075502","https://openalex.org/W4246352510","https://openalex.org/W2087151595","https://openalex.org/W2083618362","https://openalex.org/W1985566315","https://openalex.org/W2432782246","https://openalex.org/W2526671560"],"abstract_inverted_index":{"As":[0],"the":[1,26,112,125,135,150,168,192,195,203,214,227],"major":[2],"cause":[3],"of":[4,28,47,184],"deaths":[5,15],"worldwide,":[6],"cardiovascular":[7,58],"diseases":[8],"are":[9],"responsible":[10],"for":[11,172,213],"about":[12,185],"17.9":[13],"million":[14],"per":[16],"year":[17],"1.":[18],"Research":[19],"on":[20,120,138],"new":[21],"technologies":[22],"and":[23,44,94,101,104,205],"methodologies":[24],"allowed":[25],"acquisition":[27],"reliable":[29],"data":[30,59],"in":[31,37],"several":[32],"high":[33],"income":[34],"countries,":[35,40],"however,":[36],"various":[38],"developing":[39],"due":[41,190],"to":[42,66,69,106,133,161,191,216],"poverty":[43],"common":[45],"scarcity":[46],"resources,":[48],"this":[49,56],"has":[50],"not":[51],"been":[52],"reached":[53],"yet.":[54],"In":[55],"work,":[57],"acquired":[60],"using":[61,85],"cardiac":[62,71],"auscultation":[63],"is":[64,111],"going":[65],"be":[67,131,189],"used":[68,132],"detect":[70,218],"murmurs":[72,118,157,178],"through":[73],"an":[74,180],"innovative":[75],"deep":[76],"learning":[77],"approach.":[78],"The":[79],"proposed":[80,148],"screening":[81],"algorithm":[82],"was":[83,146],"built":[84],"pre-trained":[86],"models":[87],"comprising":[88],"Residual":[89],"Neural":[90],"Networks,":[91],"namely":[92],"Resnet50,":[93],"Visual":[95],"Geometry":[96],"Groups,":[97],"such":[98],"as":[99],"VGG16":[100],"VGG19.":[102],"Furthermore,":[103],"up":[105],"our":[107,109,154],"knowledge,":[108],"proposal":[110],"first":[113],"one":[114],"that":[115,194],"characterizes":[116],"heart":[117,140,207],"based":[119],"their":[121,198,219],"frequency":[122,200],"components,":[123],"i.e.":[124],"murmur":[126],"pitch.":[127,152],"Such":[128],"analysis":[129],"may":[130],"augment":[134],"system\u2019s":[136],"capability":[137],"detecting":[139],"diseases.":[141],"A":[142],"novel":[143],"decision-making":[144],"function":[145],"also":[147],"regarding":[149],"murmur\u2019s":[151],"From":[153],"experiments,":[155],"low-pitch":[156,196],"were":[158],"more":[159],"difficult":[160],"detect,":[162],"with":[163,202],"final":[164],"f1-score":[165,182],"values":[166],"nearing":[167],"0.40":[169],"value":[170,183],"mark":[171],"all":[173],"three":[174],"models,":[175],"while":[176],"high-pitch":[177,222],"presented":[179],"higher":[181],"0.80.":[186],"This":[187],"might":[188],"fact":[193],"share":[197],"respective":[199],"range":[201],"normal":[204],"fundamental":[206],"sounds,":[208],"therefore":[209],"making":[210],"it":[211],"harder":[212],"model":[215],"correctly":[217],"presence":[220],"whereas":[221],"murmurs\u2019":[223],"frequencies":[224],"distance":[225],"from":[226],"latter.":[228]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}