{"id":"https://openalex.org/W4405488742","doi":"https://doi.org/10.1109/embc53108.2024.10782543","title":"Robust Anomaly Detection of Adventitious Auscultation Signals using Bayesian Belief Tracking","display_name":"Robust Anomaly Detection of Adventitious Auscultation Signals using Bayesian Belief Tracking","publication_year":2024,"publication_date":"2024-07-15","ids":{"openalex":"https://openalex.org/W4405488742","doi":"https://doi.org/10.1109/embc53108.2024.10782543","pmid":"https://pubmed.ncbi.nlm.nih.gov/40039567"},"language":"en","primary_location":{"id":"doi:10.1109/embc53108.2024.10782543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782543","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":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13044963/pdf/nihms-2157380.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003697739","display_name":"Annapurna Kala","orcid":"https://orcid.org/0000-0002-5319-5564"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Annapurna Kala","raw_affiliation_strings":["Johns Hopkins University,Laboratory for Computational Audio Perception,Department of Electrical & Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Laboratory for Computational Audio Perception,Department of Electrical & Computer Engineering","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038788686","display_name":"Mounya Elhilali","orcid":"https://orcid.org/0000-0003-2597-738X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mounya Elhilali","raw_affiliation_strings":["Johns Hopkins University,Laboratory for Computational Audio Perception,Department of Electrical & Computer Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University,Laboratory for Computational Audio Perception,Department of Electrical & Computer Engineering","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"2024","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9789000153541565,"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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9423999786376953,"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/anomaly-detection","display_name":"Anomaly detection","score":0.7043752074241638},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6206573247909546},{"id":"https://openalex.org/keywords/auscultation","display_name":"Auscultation","score":0.6200322508811951},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5571380853652954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5514715909957886},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41885870695114136},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.37244147062301636},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07933062314987183},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.058122098445892334}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.7043752074241638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6206573247909546},{"id":"https://openalex.org/C2777324038","wikidata":"https://www.wikidata.org/wiki/Q779054","display_name":"Auscultation","level":2,"score":0.6200322508811951},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5571380853652954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5514715909957886},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41885870695114136},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.37244147062301636},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07933062314987183},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.058122098445892334}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":false},{"descriptor_ui":"D001314","descriptor_name":"Auscultation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001314","descriptor_name":"Auscultation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001314","descriptor_name":"Auscultation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001314","descriptor_name":"Auscultation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001314","descriptor_name":"Auscultation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001314","descriptor_name":"Auscultation","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012135","descriptor_name":"Respiratory Sounds","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012135","descriptor_name":"Respiratory Sounds","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012135","descriptor_name":"Respiratory Sounds","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012135","descriptor_name":"Respiratory Sounds","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012135","descriptor_name":"Respiratory Sounds","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012135","descriptor_name":"Respiratory Sounds","qualifier_ui":"Q000503","qualifier_name":"physiopathology","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":"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":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc53108.2024.10782543","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc53108.2024.10782543","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:40039567","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40039567","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":null},{"id":"pmh:oai:pubmedcentral.nih.gov:13044963","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13044963/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13044963/pdf/nihms-2157380.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annu Int Conf IEEE Eng Med Biol Soc","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:13044963","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13044963/","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13044963/pdf/nihms-2157380.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annu Int Conf IEEE Eng Med Biol Soc","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6785277255","display_name":null,"funder_award_id":"R01 HL163439","funder_id":"https://openalex.org/F4320337338","funder_display_name":"National Heart, Lung, and Blood Institute"},{"id":"https://openalex.org/G6827979758","display_name":null,"funder_award_id":"N00014-23-1-2086","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"},{"id":"https://openalex.org/G8876996369","display_name":null,"funder_award_id":"N00014","funder_id":"https://openalex.org/F4320337345","funder_display_name":"Office of Naval Research"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"},{"id":"https://openalex.org/F4320337345","display_name":"Office of Naval Research","ror":"https://ror.org/00rk2pe57"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405488742.pdf","grobid_xml":"https://content.openalex.org/works/W4405488742.grobid-xml"},"referenced_works_count":15,"referenced_works":["https://openalex.org/W2024262772","https://openalex.org/W2619772334","https://openalex.org/W2702739796","https://openalex.org/W2733219548","https://openalex.org/W2754136846","https://openalex.org/W2936503027","https://openalex.org/W3039222472","https://openalex.org/W3040266635","https://openalex.org/W3048817558","https://openalex.org/W3135550350","https://openalex.org/W3153247241","https://openalex.org/W4220862305","https://openalex.org/W4297229528","https://openalex.org/W4387268115","https://openalex.org/W4389543052"],"related_works":["https://openalex.org/W2060948635","https://openalex.org/W1908432089","https://openalex.org/W2740337880","https://openalex.org/W2136364746","https://openalex.org/W3008276873","https://openalex.org/W1990925240","https://openalex.org/W2253051934","https://openalex.org/W1986621555","https://openalex.org/W2952454465","https://openalex.org/W1976304735"],"abstract_inverted_index":{"Stethoscope":[0],"screening":[1],"serves":[2],"as":[3,152],"a":[4,64,93,101],"primary":[5],"method":[6],"for":[7,16,87],"diagnosing":[8],"pulmonary":[9],"infections,":[10],"with":[11,40,69],"medical":[12],"professionals":[13],"actively":[14],"listening":[15],"signs":[17],"of":[18,92,117,130,132],"pathologies":[19],"in":[20,105,143,165],"breathing":[21],"sounds":[22],"like":[23],"wheezing":[24],"and":[25,45,74,139],"crackling,":[26],"which":[27],"carry":[28],"different":[29],"clinical":[30],"interpretations.":[31],"Environmental":[32],"conditions":[33],"during":[34],"auscultation":[35,119,134],"recordings":[36],"often":[37],"share":[38],"similarities":[39],"these":[41],"abnormal":[42],"lung":[43],"sounds,":[44],"can":[46],"mask":[47],"or":[48],"confound":[49],"their":[50,53],"presence":[51],"making":[52],"detection":[54,67,89,116],"highly":[55],"sensitive":[56],"to":[57,71,107,161,177],"surrounding":[58],"factors.":[59],"To":[60],"automate":[61],"this":[62,80],"process,":[63],"robust":[65],"anomaly":[66,88],"scheme":[68,123],"resilience":[70,176],"ambient":[72],"backgrounds":[73],"high":[75],"precision":[76],"is":[77,159],"essential.":[78],"In":[79],"study,":[81],"we":[82],"propose":[83],"an":[84],"unsupervised":[85],"framework":[86],"where":[90],"statistics":[91,131,145],"deep":[94],"neural":[95],"network":[96],"embeddings":[97],"are":[98,111],"tracked":[99],"using":[100,136,146],"Bayesian":[102,147],"belief":[103],"model":[104],"order":[106],"flag":[108],"variations":[109],"that":[110,149],"deemed":[112],"anomalous,":[113],"hence":[114,173],"facilitating":[115],"adventitious":[118,167],"events.":[120],"The":[121],"proposed":[122],"leverages":[124],"two":[125],"key":[126],"principles:":[127],"(1)":[128],"learning":[129],"normal":[133,155],"patterns":[135],"variational":[137],"constraints,":[138],"(2)":[140],"tracking":[141],"changes":[142],"the":[144],"beliefs":[148],"interpret":[150],"anomalies":[151],"deviations":[153],"from":[154],"statistics.":[156],"This":[157],"approach":[158],"shown":[160],"be":[162],"very":[163],"effective":[164],"detecting":[166],"auscultations":[168],"under":[169],"various":[170],"noise":[171],"levels":[172],"ensuring":[174],"its":[175],"environmental":[178],"conditions.":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}