{"id":"https://openalex.org/W3116810979","doi":"https://doi.org/10.1109/tencon50793.2020.9293945","title":"Automatic Bowel Sound Detection under Cloth Rubbing Noise","display_name":"Automatic Bowel Sound Detection under Cloth Rubbing Noise","publication_year":2020,"publication_date":"2020-11-16","ids":{"openalex":"https://openalex.org/W3116810979","doi":"https://doi.org/10.1109/tencon50793.2020.9293945","mag":"3116810979"},"language":"en","primary_location":{"id":"doi:10.1109/tencon50793.2020.9293945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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/A5027716526","display_name":"Kazuma Kodani","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuma Kodani","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109533086","display_name":"Osamu Sakata","orcid":null},"institutions":[{"id":"https://openalex.org/I161296585","display_name":"Tokyo University of Science","ror":"https://ror.org/05sj3n476","country_code":"JP","type":"education","lineage":["https://openalex.org/I161296585"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Osamu Sakata","raw_affiliation_strings":["Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Tokyo University of Science, Tokyo, Japan","institution_ids":["https://openalex.org/I161296585"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5027716526"],"corresponding_institution_ids":["https://openalex.org/I161296585"],"apc_list":null,"apc_paid":null,"fwci":0.63,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.74185389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9922000169754028,"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/T10860","display_name":"Speech and Audio Processing","score":0.9495999813079834,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/auscultation","display_name":"Auscultation","score":0.7335256338119507},{"id":"https://openalex.org/keywords/stethoscope","display_name":"Stethoscope","score":0.6899181604385376},{"id":"https://openalex.org/keywords/acoustics","display_name":"Acoustics","score":0.5765475630760193},{"id":"https://openalex.org/keywords/sound","display_name":"Sound (geography)","score":0.5485296845436096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4636330306529999},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.42814862728118896},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.39271023869514465},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24923020601272583},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18416377902030945},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.12233394384384155}],"concepts":[{"id":"https://openalex.org/C2777324038","wikidata":"https://www.wikidata.org/wiki/Q779054","display_name":"Auscultation","level":2,"score":0.7335256338119507},{"id":"https://openalex.org/C2779055095","wikidata":"https://www.wikidata.org/wiki/Q162339","display_name":"Stethoscope","level":2,"score":0.6899181604385376},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.5765475630760193},{"id":"https://openalex.org/C203718221","wikidata":"https://www.wikidata.org/wiki/Q491713","display_name":"Sound (geography)","level":2,"score":0.5485296845436096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4636330306529999},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.42814862728118896},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.39271023869514465},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24923020601272583},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18416377902030945},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.12233394384384155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon50793.2020.9293945","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon50793.2020.9293945","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE REGION 10 CONFERENCE (TENCON)","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":10,"referenced_works":["https://openalex.org/W1976684619","https://openalex.org/W2091859325","https://openalex.org/W2097424988","https://openalex.org/W2120814030","https://openalex.org/W2139155691","https://openalex.org/W2144542677","https://openalex.org/W2182008109","https://openalex.org/W2545985937","https://openalex.org/W2896168472","https://openalex.org/W2903449478"],"related_works":["https://openalex.org/W2596349967","https://openalex.org/W4294762469","https://openalex.org/W4380301583","https://openalex.org/W2077460349","https://openalex.org/W4312229671","https://openalex.org/W2031186051","https://openalex.org/W4372271870","https://openalex.org/W1964116167","https://openalex.org/W1980130537","https://openalex.org/W2046118931"],"abstract_inverted_index":{"Conventionally,":[0],"bowel":[1,16,51,57,75,84,166,182,200],"sound":[2,17,58,76,85,135,183,201],"is":[3,18,29,36,99,112,120,139,202],"considered":[4],"an":[5],"important":[6],"index":[7],"for":[8,59,70,78],"understanding":[9],"a":[10,21,25,45,79,82,95,127,149,195],"patient's":[11],"intestinal":[12],"condition.":[13],"At":[14],"present,":[15],"determined":[19],"by":[20],"doctor's":[22],"auscultation":[23,28],"with":[24,106],"stethoscope.":[26],"The":[27,117],"based":[30],"on":[31,126,132],"experience":[32],"and":[33,35,47,63,154,165,177],"intuition,":[34],"short-term.":[37],"Therefore,":[38],"research":[39],"has":[40,66],"been":[41],"conducted":[42,125],"to":[43,89,159,188],"enable":[44],"long-term":[46],"quantitative":[48],"measurement":[49],"of":[50,109,136,175,180],"sound.":[52],"However,":[53],"these":[54],"studies":[55],"measured":[56,68],"bedridden":[60],"patients":[61],"only,":[62],"no":[64],"study":[65,130],"yet":[67],"them":[69],"moving":[71,80],"patients.":[72],"To":[73],"measure":[74],"even":[77],"patient,":[81],"portable":[83],"detection":[86],"device":[87],"needs":[88],"be":[90],"developed.":[91],"For":[92],"this":[93,115],"purpose,":[94],"new":[96],"sensor":[97],"that":[98],"smaller":[100],"than":[101],"the":[102,107,133,140,162,170,173,178,181,191,199],"conventional":[103],"stationary":[104],"prototype,":[105],"addition":[108],"noise":[110,118,143],"resistance,":[111],"developed":[113],"in":[114,172],"study.":[116],"resistance":[119],"added":[121],"through":[122],"signal":[123],"processing":[124],"computer.":[128],"This":[129],"focuses":[131],"rubbing":[134,164],"clothes,":[137],"which":[138],"most":[141],"influential":[142],"generated":[144],"when":[145],"moving.":[146],"In":[147,168],"addition,":[148,169],"notch":[150],"filter,":[151,153],"wavelet":[152],"low-pass":[155],"filter":[156],"are":[157,186],"used":[158,187],"extract":[160],"only":[161,198],"cloth":[163],"sounds.":[167,193],"difference":[171],"number":[174],"peaks":[176],"enhancement":[179],"spectrum":[184],"characteristics":[185],"distinguish":[189],"between":[190],"two":[192],"As":[194],"result,":[196],"automatically,":[197],"detected.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}