{"id":"https://openalex.org/W2149602666","doi":"https://doi.org/10.1109/icassp.2011.5946498","title":"Discrimination between healthy subjects and patients with pulmonary emphysema by detection of abnormal respiration","display_name":"Discrimination between healthy subjects and patients with pulmonary emphysema by detection of abnormal respiration","publication_year":2011,"publication_date":"2011-05-01","ids":{"openalex":"https://openalex.org/W2149602666","doi":"https://doi.org/10.1109/icassp.2011.5946498","mag":"2149602666"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2011.5946498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://nagasaki-u.repo.nii.ac.jp/record/12116/files/ICASSP2011_693.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024606959","display_name":"Masaru Yamashita","orcid":"https://orcid.org/0000-0001-8545-6645"},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Masaru Yamashita","raw_affiliation_strings":["Department of Computer and Information Sciences, Nagasaki University, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108370359","display_name":"Shoichi Matsunaga","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shoichi Matsunaga","raw_affiliation_strings":["Department of Computer and Information Sciences, Nagasaki University, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108357945","display_name":"Sueharu Miyahara","orcid":null},"institutions":[{"id":"https://openalex.org/I43777268","display_name":"Nagasaki University","ror":"https://ror.org/058h74p94","country_code":"JP","type":"education","lineage":["https://openalex.org/I43777268"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Sueharu Miyahara","raw_affiliation_strings":["Department of Computer and Information Sciences, Nagasaki University, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Computer and Information Sciences, Nagasaki University, Japan","institution_ids":["https://openalex.org/I43777268"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024606959"],"corresponding_institution_ids":["https://openalex.org/I43777268"],"apc_list":null,"apc_paid":null,"fwci":1.4996,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.8419392,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"693","last_page":"696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":1.0,"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":1.0,"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":0.9265999794006348,"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/auscultation","display_name":"Auscultation","score":0.7516306638717651},{"id":"https://openalex.org/keywords/hidden-markov-model","display_name":"Hidden Markov model","score":0.6206501126289368},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.6121869683265686},{"id":"https://openalex.org/keywords/bigram","display_name":"Bigram","score":0.6046768426895142},{"id":"https://openalex.org/keywords/respiration","display_name":"Respiration","score":0.6033591032028198},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.541322648525238},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49863100051879883},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.48229458928108215},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45243337750434875},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3246697783470154},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.2077924609184265}],"concepts":[{"id":"https://openalex.org/C2777324038","wikidata":"https://www.wikidata.org/wiki/Q779054","display_name":"Auscultation","level":2,"score":0.7516306638717651},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6206501126289368},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.6121869683265686},{"id":"https://openalex.org/C108757681","wikidata":"https://www.wikidata.org/wiki/Q2773912","display_name":"Bigram","level":3,"score":0.6046768426895142},{"id":"https://openalex.org/C182215343","wikidata":"https://www.wikidata.org/wiki/Q472287","display_name":"Respiration","level":2,"score":0.6033591032028198},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.541322648525238},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49863100051879883},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.48229458928108215},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45243337750434875},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3246697783470154},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.2077924609184265},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C137546455","wikidata":"https://www.wikidata.org/wiki/Q3213474","display_name":"Trigram","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/icassp.2011.5946498","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2011.5946498","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:irdb.nii.ac.jp:01160:0004783730","is_oa":true,"landing_page_url":"https://nagasaki-u.repo.nii.ac.jp/records/12116","pdf_url":"https://nagasaki-u.repo.nii.ac.jp/record/12116/files/ICASSP2011_693.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"conference paper"},{"id":"pmh:oai:naosite.lb.nagasaki-u.ac.jp:10069/26236","is_oa":true,"landing_page_url":"http://hdl.handle.net/10069/26236","pdf_url":null,"source":{"id":"https://openalex.org/S4306400113","display_name":"Nagasaki University's Academic Output SITE (Nagasaki University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I43777268","host_organization_name":"Nagasaki University","host_organization_lineage":["https://openalex.org/I43777268"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":{"id":"pmh:oai:irdb.nii.ac.jp:01160:0004783730","is_oa":true,"landing_page_url":"https://nagasaki-u.repo.nii.ac.jp/records/12116","pdf_url":"https://nagasaki-u.repo.nii.ac.jp/record/12116/files/ICASSP2011_693.pdf","source":{"id":"https://openalex.org/S7407056385","display_name":"Institutional Repositories DataBase (IRDB)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I184597095","host_organization_name":"National Institute of Informatics","host_organization_lineage":["https://openalex.org/I184597095"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"conference paper"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/16"},{"display_name":"Reduced inequalities","score":0.5,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2149602666.pdf","grobid_xml":"https://content.openalex.org/works/W2149602666.grobid-xml"},"referenced_works_count":8,"referenced_works":["https://openalex.org/W2028709512","https://openalex.org/W2094152707","https://openalex.org/W2135991670","https://openalex.org/W2152384461","https://openalex.org/W2158135394","https://openalex.org/W2341048097","https://openalex.org/W6680128203","https://openalex.org/W6703853647"],"related_works":["https://openalex.org/W3173084154","https://openalex.org/W2982021180","https://openalex.org/W2251497876","https://openalex.org/W2241081188","https://openalex.org/W2128567707","https://openalex.org/W2011383762","https://openalex.org/W2035962958","https://openalex.org/W2146546639","https://openalex.org/W4327499987","https://openalex.org/W2197825247"],"abstract_inverted_index":{"In":[0,81,132],"this":[1,62],"paper,":[2],"we":[3],"propose":[4],"a":[5,12,16,69,119,161],"robust":[6],"classification":[7,71,169,181],"strategy":[8,65,165],"for":[9,93,118,129],"distinguishing":[10],"between":[11,154,173],"healthy":[13,174],"subject":[14],"and":[15,52,88,96,126,176],"patient":[17],"with":[18],"pulmonary":[19,30],"emphysema":[20,31],"on":[21,74,140],"the":[22,45,75,82,97,115,127,133,136,141,144,167,185],"basis":[23,142],"of":[24,29,48,77,99,112,143,146,171,187],"lung":[25,36],"sounds.":[26,43],"A":[27],"symptom":[28],"is":[32,66,151,158],"that":[33],"almost":[34],"all":[35],"sounds":[37,51],"include":[38],"some":[39],"abnormal":[40,79,104,124,148],"(i.e.,":[41],"adventitious)":[42],"However,":[44],"great":[46],"variety":[47],"possible":[49],"adventitious":[50],"noises":[53],"at":[54],"auscultation":[55],"makes":[56],"high-accuracy":[57],"detection":[58,76,145],"difficult.":[59],"To":[60],"overcome":[61],"difficulty,":[63],"our":[64,188],"to":[67,108,122],"adopt":[68],"two-step":[70],"approach":[72],"based":[73],"\"confident":[78],"respiration.\"":[80],"first":[83],"step,":[84,135],"hidden":[85],"Markov":[86],"models":[87,90],"bigram":[89],"are":[91,138],"used":[92],"acoustic":[94,100],"features":[95],"occurrence":[98],"segments":[101],"in":[102],"each":[103],"respiratory":[105],"period,":[106],"respectively,":[107],"calculate":[109],"two":[110,156],"kinds":[111],"stochastic":[113],"likelihoods:":[114],"highest":[116,168],"likelihood":[117,128],"segment":[120],"sequence":[121],"be":[123],"respiration":[125],"normal":[130],"respiration.":[131],"second":[134],"patients":[137,177],"identified":[139],"confident":[147],"respiration,":[149],"which":[150,183],"when":[152],"difference":[153],"these":[155],"likelihoods":[157],"larger":[159],"than":[160],"predefined":[162],"threshold.":[163],"Our":[164],"achieved":[166],"rate":[170],"88.7%":[172],"subjects":[175],"among":[178],"three":[179],"basic":[180],"strategies,":[182],"shows":[184],"validity":[186],"approach.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
