{"id":"https://openalex.org/W3067049252","doi":"https://doi.org/10.1109/access.2020.3016748","title":"Detection of Respiratory Sounds Based on Wavelet Coefficients and Machine Learning","display_name":"Detection of Respiratory Sounds Based on Wavelet Coefficients and Machine Learning","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3067049252","doi":"https://doi.org/10.1109/access.2020.3016748","mag":"3067049252"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3016748","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3016748","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169861.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169861.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Fei Meng","orcid":"https://orcid.org/0000-0001-8093-031X"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Meng","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8093-031X","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002110970","display_name":"Yan Shi","orcid":"https://orcid.org/0000-0002-6954-0537"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Shi","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"State Key Laboratory of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461393","display_name":"Na Wang","orcid":"https://orcid.org/0000-0002-3703-3661"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Wang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030887117","display_name":"Maolin Cai","orcid":"https://orcid.org/0000-0001-5633-6951"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Maolin Cai","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009504182","display_name":"Zujin Luo","orcid":"https://orcid.org/0000-0002-4417-5422"},"institutions":[{"id":"https://openalex.org/I183519381","display_name":"Capital Medical University","ror":"https://ror.org/013xs5b60","country_code":"CN","type":"education","lineage":["https://openalex.org/I183519381"]},{"id":"https://openalex.org/I2800232565","display_name":"Beijing Chao-Yang Hospital, Capital Medical University","ror":"https://ror.org/01eff5662","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I2800232565","https://openalex.org/I4210110145","https://openalex.org/I4210135108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zujing Luo","raw_affiliation_strings":["Department of Respiratory and Critical Care Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Respiratory and Critical Care Medicine, Beijing Engineering Research Center of Respiratory and Critical Care Medicine, Beijing Institute of Respiratory Medicine, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China","institution_ids":["https://openalex.org/I2800232565","https://openalex.org/I183519381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":3.6996,"has_fulltext":true,"cited_by_count":51,"citation_normalized_percentile":{"value":0.94892316,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"155710","last_page":"155720"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"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":0.9998999834060669,"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/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9322999715805054,"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/computer-science","display_name":"Computer science","score":0.6771484017372131},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.5904111862182617},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5585209727287292},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4858412444591522},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4833635687828064},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4443069398403168},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3509693145751953}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6771484017372131},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.5904111862182617},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5585209727287292},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4858412444591522},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4833635687828064},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4443069398403168},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3509693145751953}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3016748","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3016748","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169861.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b3badd4fd0dd4c649e30fde2af6e99cf","is_oa":true,"landing_page_url":"https://doaj.org/article/b3badd4fd0dd4c649e30fde2af6e99cf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 155710-155720 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3016748","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3016748","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09169861.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.699999988079071,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G1948742295","display_name":null,"funder_award_id":"51575020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326955","display_name":"State Key Laboratory of Fluid Power Transmission and Control","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3067049252.pdf","grobid_xml":"https://content.openalex.org/works/W3067049252.grobid-xml"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1964637765","https://openalex.org/W1969600062","https://openalex.org/W1970602203","https://openalex.org/W1980128308","https://openalex.org/W1984488358","https://openalex.org/W1985184135","https://openalex.org/W1988292012","https://openalex.org/W1991926769","https://openalex.org/W2015855569","https://openalex.org/W2017939241","https://openalex.org/W2022760441","https://openalex.org/W2041404167","https://openalex.org/W2096438982","https://openalex.org/W2106706488","https://openalex.org/W2115755118","https://openalex.org/W2124954038","https://openalex.org/W2129578023","https://openalex.org/W2132870739","https://openalex.org/W2132984323","https://openalex.org/W2135991670","https://openalex.org/W2149602666","https://openalex.org/W2150455640","https://openalex.org/W2295562464","https://openalex.org/W2399296970","https://openalex.org/W2534194776","https://openalex.org/W2537763288","https://openalex.org/W2538750502","https://openalex.org/W2756339226","https://openalex.org/W2921249351","https://openalex.org/W2954103020","https://openalex.org/W2964439653","https://openalex.org/W2969103690","https://openalex.org/W2978725006","https://openalex.org/W2992420332","https://openalex.org/W3011086304","https://openalex.org/W3011926303","https://openalex.org/W3021639942","https://openalex.org/W3027928993","https://openalex.org/W3103935216","https://openalex.org/W4230320068","https://openalex.org/W4234559785","https://openalex.org/W6680128203","https://openalex.org/W6743700736"],"related_works":["https://openalex.org/W2382174632","https://openalex.org/W2129959498","https://openalex.org/W2784060934","https://openalex.org/W2902714807","https://openalex.org/W2537489131","https://openalex.org/W2046633342","https://openalex.org/W2394084632","https://openalex.org/W2358293514","https://openalex.org/W2059273319","https://openalex.org/W2077021924"],"abstract_inverted_index":{"Respiratory":[0],"sounds":[1,15],"reveal":[2],"important":[3],"information":[4],"of":[5,8,13,25,35,85,127,151],"the":[6,11,19,26,76,83,86,96,102,107,115,125,128,139,144],"lungs":[7],"patients.":[9,70],"However,":[10],"analysis":[12],"lung":[14],"depends":[16],"significantly":[17],"on":[18,43],"medical":[20],"skills":[21],"and":[22,28,61,78,111,142],"diagnostic":[23],"experience":[24],"physicians":[27],"is":[29],"a":[30],"time-consuming":[31],"process.":[32],"The":[33,88,130],"development":[34],"an":[36,149],"automatic":[37],"respiratory":[38,54,64,145],"sound":[39,55,146],"classification":[40,140],"system":[41],"based":[42],"machine":[44],"learning":[45],"would,":[46],"therefore,":[47],"be":[48],"beneficial.":[49],"In":[50],"this":[51],"study,":[52],"705":[53],"signals":[56,81,147],"(240":[57],"crackles,":[58],"260":[59],"rhonchi,":[60],"205":[62],"normal":[63],"sounds)":[65],"were":[66],"acquired":[67],"from":[68],"130":[69],"We":[71,100],"found":[72],"that":[73],"similarities":[74],"between":[75],"original":[77],"wavelet":[79,97,103,109,112],"decomposed":[80],"reflected":[82],"frequency":[84],"signals.":[87],"Gaussian":[89],"kernel":[90],"function":[91],"was":[92,121,136],"used":[93],"to":[94,123],"evaluate":[95],"signal":[98,104],"similarity.":[99],"combined":[101],"similarity":[105],"with":[106,148],"relative":[108],"energy":[110],"entropy":[113],"as":[114],"feature":[116],"vector.":[117],"A":[118],"5-fold":[119],"cross-validation":[120],"applied":[122],"assess":[124],"performance":[126],"system.":[129],"artificial":[131],"neural":[132],"network":[133],"model,":[134],"which":[135],"applied,":[137],"achieved":[138],"accuracy":[141,150],"classified":[143],"85.43%.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}