{"id":"https://openalex.org/W2992420332","doi":"https://doi.org/10.1109/biocas.2019.8919021","title":"LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm","display_name":"LungBRN: A Smart Digital Stethoscope for Detecting Respiratory Disease Using bi-ResNet Deep Learning Algorithm","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W2992420332","doi":"https://doi.org/10.1109/biocas.2019.8919021","mag":"2992420332"},"language":"en","primary_location":{"id":"doi:10.1109/biocas.2019.8919021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2019.8919021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5062841020","display_name":"Yi Ma","orcid":"https://orcid.org/0000-0001-5485-419X"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yi Ma","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089442753","display_name":"Xinzi Xu","orcid":"https://orcid.org/0000-0001-5869-1631"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinzi Xu","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071338243","display_name":"Qing Yu","orcid":"https://orcid.org/0000-0003-2513-2969"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Yu","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100321510","display_name":"Yuhang Zhang","orcid":"https://orcid.org/0000-0003-3825-0796"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhang Zhang","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764158","display_name":"Yongfu Li","orcid":"https://orcid.org/0000-0002-6322-8614"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfu Li","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045329560","display_name":"Jian Zhao","orcid":"https://orcid.org/0000-0003-2140-1236"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087716003","display_name":"Guoxing Wang","orcid":"https://orcid.org/0000-0002-0235-1475"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoxing Wang","raw_affiliation_strings":["Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5062841020"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":9.0784,"has_fulltext":false,"cited_by_count":123,"citation_normalized_percentile":{"value":0.98496477,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T11309","display_name":"Music and Audio Processing","score":0.9876999855041504,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12418","display_name":"Respiratory and Cough-Related Research","score":0.9868000149726868,"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/stethoscope","display_name":"Stethoscope","score":0.7800177335739136},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6480557918548584},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5936017036437988},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5816314816474915},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5794485211372375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45940887928009033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41617342829704285},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23083359003067017}],"concepts":[{"id":"https://openalex.org/C2779055095","wikidata":"https://www.wikidata.org/wiki/Q162339","display_name":"Stethoscope","level":2,"score":0.7800177335739136},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6480557918548584},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5936017036437988},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5816314816474915},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5794485211372375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45940887928009033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41617342829704285},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23083359003067017},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biocas.2019.8919021","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biocas.2019.8919021","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Biomedical Circuits and Systems Conference (BioCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2050220558","https://openalex.org/W2104657103","https://openalex.org/W2156297475","https://openalex.org/W2162647379","https://openalex.org/W2170748564","https://openalex.org/W2194775991","https://openalex.org/W2702739796","https://openalex.org/W2768465935","https://openalex.org/W2770588696","https://openalex.org/W2770896033","https://openalex.org/W2782469814","https://openalex.org/W2893262297","https://openalex.org/W2895590231","https://openalex.org/W2899493363","https://openalex.org/W2964121744","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W1972438460","https://openalex.org/W305797682","https://openalex.org/W2024262772","https://openalex.org/W2719004936","https://openalex.org/W2480617866","https://openalex.org/W4214735274","https://openalex.org/W1973055120","https://openalex.org/W3134672139","https://openalex.org/W2302333418","https://openalex.org/W4380075502"],"abstract_inverted_index":{"Improving":[0],"access":[1],"to":[2,13,47,81,86,120,136],"health":[3],"care":[4],"services":[5],"for":[6,52],"the":[7,23,83,87,98,103,110,128],"medically":[8],"under-served":[9],"population":[10],"is":[11,27,127],"vital":[12],"ensure":[14,91],"that":[15],"critical":[16],"illness":[17],"can":[18,44],"be":[19,45],"addressed":[20],"immediately.":[21],"In":[22,60],"scenarios":[24],"where":[25],"there":[26],"a":[28,35,41,92,115,122],"severely":[29],"lacking":[30],"of":[31,124,133],"skilled":[32],"medical":[33],"staff,":[34],"basic":[36],"lung":[37],"sound":[38],"classification":[39],"through":[40],"digital":[42],"stethoscope":[43],"used":[46],"provide":[48],"an":[49,66],"immediate":[50],"diagnostic":[51],"respiratory-related":[53],"diseases":[54],"such":[55],"as":[56],"chronic":[57],"obstructive":[58],"pulmonary.":[59],"this":[61],"work,":[62],"we":[63,95,117],"have":[64,96],"developed":[65],"improved":[67],"bi-ResNet":[68],"deep":[69],"learning":[70],"architecture,":[71],"LungBRN,":[72],"which":[73,126],"uses":[74],"STFT":[75],"and":[76,102],"wavelet":[77],"feature":[78],"extraction":[79],"techniques":[80],"improve":[82],"accuracy":[84,134],"compared":[85,135],"state-of-the-art":[88],"works.":[89],"To":[90],"fair":[93],"evaluation,":[94],"adopted":[97],"official":[99],"benchmark":[100],"standards":[101],"\"train-and-test\"":[104],"dataset":[105],"splitting":[106],"method":[107],"stated":[108],"in":[109,131],"ICBHI":[111,141],"2017":[112],"challenge.":[113],"As":[114],"result,":[116],"are":[118],"able":[119],"achieve":[121],"performance":[123],"50.16%,":[125],"best":[129],"result":[130],"terms":[132],"all":[137],"participating":[138],"teams":[139],"from":[140],"2017.":[142]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-15T08:11:43.952461","created_date":"2025-10-10T00:00:00"}
