{"id":"https://openalex.org/W2755421148","doi":"https://doi.org/10.1109/embc.2017.8037875","title":"Cough sound analysis for diagnosing croup in pediatric patients using biologically inspired features","display_name":"Cough sound analysis for diagnosing croup in pediatric patients using biologically inspired features","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2755421148","doi":"https://doi.org/10.1109/embc.2017.8037875","mag":"2755421148","pmid":"https://pubmed.ncbi.nlm.nih.gov/29060916"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2017.8037875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-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/A5023279352","display_name":"Roneel V. Sharan","orcid":"https://orcid.org/0000-0003-1079-8709"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Roneel V. Sharan","raw_affiliation_strings":["School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075085665","display_name":"Udantha R. Abeyratne","orcid":"https://orcid.org/0000-0003-0137-7996"},"institutions":[{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]},{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Udantha R. Abeyratne","raw_affiliation_strings":["School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072081429","display_name":"Vinayak Swarnkar","orcid":null},"institutions":[{"id":"https://openalex.org/I165143802","display_name":"University of Queensland","ror":"https://ror.org/00rqy9422","country_code":"AU","type":"education","lineage":["https://openalex.org/I165143802"]},{"id":"https://openalex.org/I160993911","display_name":"Queensland University of Technology","ror":"https://ror.org/03pnv4752","country_code":"AU","type":"education","lineage":["https://openalex.org/I160993911"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vinayak R. Swarnkar","raw_affiliation_strings":["School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia"],"affiliations":[{"raw_affiliation_string":"School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD, Australia","institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078097984","display_name":"Paul Porter","orcid":"https://orcid.org/0000-0001-9051-589X"},"institutions":[{"id":"https://openalex.org/I2800419323","display_name":"Princess Margaret Hospital for Children","ror":"https://ror.org/04ec98z42","country_code":"AU","type":"healthcare","lineage":["https://openalex.org/I2799506148","https://openalex.org/I2800419323","https://openalex.org/I2800882159"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Paul Porter","raw_affiliation_strings":["Princess Margaret Hospital and Joondalup Health Campus in Perth, Australia"],"affiliations":[{"raw_affiliation_string":"Princess Margaret Hospital and Joondalup Health Campus in Perth, Australia","institution_ids":["https://openalex.org/I2800419323"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5023279352"],"corresponding_institution_ids":["https://openalex.org/I160993911","https://openalex.org/I165143802"],"apc_list":null,"apc_paid":null,"fwci":0.6144,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.72457851,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2017","issue":null,"first_page":"4578","last_page":"4581"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9987999796867371,"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/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9987999796867371,"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/T12297","display_name":"Otolaryngology and Infectious Diseases","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2725","display_name":"Infectious Diseases"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/croup","display_name":"Croup","score":0.8800370097160339},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7072911262512207},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6986532211303711},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6173170804977417},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6160810589790344},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6069740056991577},{"id":"https://openalex.org/keywords/spectrogram","display_name":"Spectrogram","score":0.5884547233581543},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5855328440666199},{"id":"https://openalex.org/keywords/respiratory-sounds","display_name":"Respiratory sounds","score":0.552547037601471},{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.4985954761505127},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3984588086605072},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2094205915927887},{"id":"https://openalex.org/keywords/asthma","display_name":"Asthma","score":0.10242640972137451},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07407847046852112}],"concepts":[{"id":"https://openalex.org/C2779651244","wikidata":"https://www.wikidata.org/wiki/Q836356","display_name":"Croup","level":2,"score":0.8800370097160339},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7072911262512207},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6986532211303711},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6173170804977417},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6160810589790344},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6069740056991577},{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.5884547233581543},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5855328440666199},{"id":"https://openalex.org/C2777402568","wikidata":"https://www.wikidata.org/wiki/Q779038","display_name":"Respiratory sounds","level":3,"score":0.552547037601471},{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.4985954761505127},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3984588086605072},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2094205915927887},{"id":"https://openalex.org/C2776042228","wikidata":"https://www.wikidata.org/wiki/Q35869","display_name":"Asthma","level":2,"score":0.10242640972137451},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07407847046852112},{"id":"https://openalex.org/C159047783","wikidata":"https://www.wikidata.org/wiki/Q7215","display_name":"Virology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"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":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003371","descriptor_name":"Cough","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003371","descriptor_name":"Cough","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003371","descriptor_name":"Cough","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003440","descriptor_name":"Croup","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003440","descriptor_name":"Croup","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003440","descriptor_name":"Croup","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":"D013016","descriptor_name":"Sound","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013016","descriptor_name":"Sound","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013016","descriptor_name":"Sound","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D060388","descriptor_name":"Support Vector Machine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc.2017.8037875","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2017.8037875","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:29060916","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29060916","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:espace.library.uq.edu.au:UQ:716633","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402388","display_name":"Queensland's institutional digital repository (The University of Queensland)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I165143802","host_organization_name":"The University of Queensland","host_organization_lineage":["https://openalex.org/I165143802"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.6499999761581421,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W396690109","https://openalex.org/W1489184006","https://openalex.org/W1552371796","https://openalex.org/W1647288585","https://openalex.org/W2037976268","https://openalex.org/W2059096749","https://openalex.org/W2087347434","https://openalex.org/W2119821739","https://openalex.org/W2123757094","https://openalex.org/W2125610452","https://openalex.org/W2148154194","https://openalex.org/W2171662909","https://openalex.org/W2312381234","https://openalex.org/W2512160354","https://openalex.org/W4206279304","https://openalex.org/W4239510810","https://openalex.org/W6613520308","https://openalex.org/W6845211023"],"related_works":["https://openalex.org/W4317383455","https://openalex.org/W2548511587","https://openalex.org/W4293232884","https://openalex.org/W2422472940","https://openalex.org/W2019475500","https://openalex.org/W2548162870","https://openalex.org/W2138847091","https://openalex.org/W2809097118","https://openalex.org/W4210246060","https://openalex.org/W4309263216"],"abstract_inverted_index":{"This":[0,50],"paper":[1],"aims":[2],"to":[3],"diagnose":[4],"croup":[5,115],"in":[6,56],"children":[7],"using":[8,85,130],"cough":[9,99],"sound":[10,100],"signal":[11,101],"classification.":[12],"It":[13],"proposes":[14],"the":[15,24,30,34,42,47,57,141],"use":[16],"of":[17,46,122,126,138],"a":[18,37,96,134],"time-frequency":[19,58],"image-based":[20],"feature,":[21],"referred":[22],"as":[23,80],"cochleagram":[25,35,68],"image":[26,59,69],"feature":[27,65,136],"(CIF).":[28],"Unlike":[29],"conventional":[31,142],"spectrogram":[32],"image,":[33],"utilizes":[36],"gammatone":[38],"filter":[39],"which":[40],"models":[41],"frequency":[43],"selectivity":[44],"property":[45],"human":[48],"cochlea.":[49],"helps":[51],"reveal":[52],"more":[53,62],"spectral":[54],"information":[55],"making":[60],"it":[61],"useful":[63],"for":[64],"extraction.":[66],"The":[67,118],"is":[70,83],"then":[71],"divided":[72,113],"into":[73,114],"blocks":[74],"and":[75,90,116,124,140],"central":[76],"moments":[77],"are":[78,128],"extracted":[79],"features.":[81],"Classification":[82],"performed":[84],"logistic":[86],"regression":[87],"model":[88],"(LRM)":[89],"support":[91],"vector":[92],"machine":[93],"(SVM)":[94],"on":[95,133],"comprehensive":[97],"real-world":[98],"database":[102],"containing":[103],"364":[104],"patients":[105],"with":[106],"various":[107],"clinically":[108],"diagnosed":[109],"respiratory":[110],"tract":[111],"infections":[112],"non-croup.":[117],"best":[119],"results,":[120],"sensitivity":[121],"88.37%":[123],"specificity":[125],"91.59%,":[127],"achieved":[129],"SVM":[131],"classification":[132],"combined":[135],"set":[137],"CIF":[139],"mel-frequency":[143],"cepstral":[144],"coefficients":[145],"(MFCCs).":[146]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}