{"id":"https://openalex.org/W3081780118","doi":"https://doi.org/10.1109/embc44109.2020.9176226","title":"Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder Architecture","display_name":"Breathing Sound Segmentation and Detection Using Transfer Learning Techniques on an Attention-Based Encoder-Decoder Architecture","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3081780118","doi":"https://doi.org/10.1109/embc44109.2020.9176226","mag":"3081780118","pmid":"https://pubmed.ncbi.nlm.nih.gov/33018096"},"language":"en","primary_location":{"id":"doi:10.1109/embc44109.2020.9176226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & 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/A5045704694","display_name":"Chiu\u2010Han Hsiao","orcid":"https://orcid.org/0000-0002-8475-7400"},"institutions":[{"id":"https://openalex.org/I4210086894","display_name":"Research Center for Information Technology Innovation, Academia Sinica","ror":"https://ror.org/000zgvm20","country_code":"TW","type":"facility","lineage":["https://openalex.org/I4210086894","https://openalex.org/I84653119"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chiu-Han Hsiao","raw_affiliation_strings":["Research Center for Information Technology Innovation, Academia Sinica, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Center for Information Technology Innovation, Academia Sinica, Taiwan","institution_ids":["https://openalex.org/I4210086894"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102949108","display_name":"Ting\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-9594-8854"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ting-Wei Lin","raw_affiliation_strings":["Information Management Department, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Management Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066973702","display_name":"Chii\u2010Wann Lin","orcid":"https://orcid.org/0000-0002-8721-3441"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chii-Wann Lin","raw_affiliation_strings":["Information Management Department, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Management Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080826087","display_name":"Fu-Shun Hsu","orcid":"https://orcid.org/0000-0002-4586-7308"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Fu-Shun Hsu","raw_affiliation_strings":["Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109123290","display_name":"Frank Yeong\u2010Sung Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Frank Yeong-Sung Lin","raw_affiliation_strings":["Information Management Department, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Management Department, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022312913","display_name":"Chung-Wei Chen","orcid":"https://orcid.org/0000-0003-1245-6358"},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Wei Chen","raw_affiliation_strings":["Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, National Taiwan University, Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102760958","display_name":"Chi-Ming Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I16733864","display_name":"National Taiwan University","ror":"https://ror.org/05bqach95","country_code":"TW","type":"education","lineage":["https://openalex.org/I16733864"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chi-Ming Chung","raw_affiliation_strings":["Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, New Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, New Taipei, Taiwan","institution_ids":["https://openalex.org/I16733864"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5045704694"],"corresponding_institution_ids":["https://openalex.org/I4210086894"],"apc_list":null,"apc_paid":null,"fwci":2.1214,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.89989459,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"2020","issue":null,"first_page":"754","last_page":"759"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9990000128746033,"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":0.9962999820709229,"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/spectrogram","display_name":"Spectrogram","score":0.9172720313072205},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880091071128845},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.6540337800979614},{"id":"https://openalex.org/keywords/microphone","display_name":"Microphone","score":0.6339318156242371},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5785667896270752},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5704759955406189},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5140010714530945},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37638580799102783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36162692308425903},{"id":"https://openalex.org/keywords/sound-pressure","display_name":"Sound pressure","score":0.10276263952255249},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.07279098033905029}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.9172720313072205},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880091071128845},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.6540337800979614},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.6339318156242371},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5785667896270752},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5704759955406189},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5140010714530945},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37638580799102783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36162692308425903},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.10276263952255249},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.07279098033905029},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001288","descriptor_name":"Attention","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":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012119","descriptor_name":"Respiration","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":"D045853","descriptor_name":"Exhalation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045853","descriptor_name":"Exhalation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045853","descriptor_name":"Exhalation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc44109.2020.9176226","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc44109.2020.9176226","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:33018096","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33018096","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}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.4099999964237213}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1514535095","https://openalex.org/W2097117768","https://openalex.org/W2130942839","https://openalex.org/W2163605009","https://openalex.org/W2408239454","https://openalex.org/W2592046076","https://openalex.org/W2754136846","https://openalex.org/W2801920224","https://openalex.org/W2923148076","https://openalex.org/W2955825799","https://openalex.org/W2962824709","https://openalex.org/W2963353005","https://openalex.org/W2964654241","https://openalex.org/W2989294515","https://openalex.org/W3000306765","https://openalex.org/W6630875275","https://openalex.org/W6679436768","https://openalex.org/W6684191040","https://openalex.org/W6766461816","https://openalex.org/W6770153866"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W1976719989","https://openalex.org/W2942893872","https://openalex.org/W2065606036","https://openalex.org/W3179495260","https://openalex.org/W2897924318","https://openalex.org/W2138997758"],"abstract_inverted_index":{"This":[0,20],"paper":[1],"focuses":[2],"on":[3,75,90],"the":[4,12,26,36,41,55,62,72,91,96,99,141],"use":[5],"of":[6,14,30,40,98,140],"an":[7,76],"attention-based":[8,77],"encoder-decoder":[9],"model":[10,58],"for":[11,47,105],"task":[13],"breathing":[15],"sound":[16,43],"segmentation":[17],"and":[18,28,45,64,107,134],"detection.":[19],"study":[21],"aims":[22],"to":[23,53,83],"accurately":[24],"segment":[25,50],"inspiration":[27],"expiration":[29],"patients":[31],"with":[32,95],"pulmonary":[33],"diseases":[34],"using":[35,71,114],"proposed":[37,142],"model.":[38,56],"Spectrograms":[39],"lung":[42],"signals":[44],"labels":[46],"every":[48],"time":[49,132],"were":[51,109],"used":[52,104],"train":[54],"The":[57],"would":[59,80],"first":[60],"encode":[61],"spectrogram":[63],"then":[65],"detect":[66],"inspiratory":[67],"or":[68,117],"expiratory":[69],"sounds":[70,103],"encoded":[73],"image":[74],"decoder.":[78],"Physicians":[79],"be":[81,145],"able":[82],"make":[84],"a":[85,124],"more":[86,92],"precise":[87],"diagnosis":[88],"based":[89],"interpretable":[93],"outputs":[94],"assistance":[97],"attention":[100],"mechanism.The":[101],"respiratory":[102],"training":[106],"testing":[108],"recorded":[110],"from":[111,147],"22":[112],"participants":[113],"digital":[115],"stethoscopes":[116],"anti-noising":[118],"microphone":[119],"sets.":[120],"Experimental":[121],"results":[122],"showed":[123],"high":[125],"92.006%":[126],"accuracy":[127],"when":[128],"applied":[129],"0.5":[130],"second":[131],"segments":[133],"ResNet101":[135],"as":[136],"encoder.":[137],"Consistent":[138],"performance":[139],"method":[143],"can":[144],"observed":[146],"ten-fold":[148],"cross-validation":[149],"experiments.":[150]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}