{"id":"https://openalex.org/W4401072502","doi":"https://doi.org/10.1109/memea60663.2024.10596760","title":"CoBrS: Cough Breath Segmentation for the Reduction of Class-Confounding Characteristics in Dataset Curation","display_name":"CoBrS: Cough Breath Segmentation for the Reduction of Class-Confounding Characteristics in Dataset Curation","publication_year":2024,"publication_date":"2024-06-26","ids":{"openalex":"https://openalex.org/W4401072502","doi":"https://doi.org/10.1109/memea60663.2024.10596760"},"language":"en","primary_location":{"id":"doi:10.1109/memea60663.2024.10596760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea60663.2024.10596760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","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/A5026685126","display_name":"Alice E. Ashby","orcid":"https://orcid.org/0009-0005-9734-9755"},"institutions":[{"id":"https://openalex.org/I162608824","display_name":"University of Sussex","ror":"https://ror.org/00ayhx656","country_code":"GB","type":"education","lineage":["https://openalex.org/I162608824"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Alice E. Ashby","raw_affiliation_strings":["University of Sussex,Department of Engineering &#x0026; Informatics,Brighton,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Sussex,Department of Engineering &#x0026; Informatics,Brighton,United Kingdom","institution_ids":["https://openalex.org/I162608824"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034957171","display_name":"Khuong An Nguyen","orcid":"https://orcid.org/0000-0001-6198-9295"},"institutions":[{"id":"https://openalex.org/I184558857","display_name":"Royal Holloway University of London","ror":"https://ror.org/04g2vpn86","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I184558857"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Khuong An Nguyen","raw_affiliation_strings":["Royal Holloway University of London,Department of Computer Science,Surrey,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Royal Holloway University of London,Department of Computer Science,Surrey,United Kingdom","institution_ids":["https://openalex.org/I184558857"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.73015678,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10201","display_name":"Speech Recognition and Synthesis","score":0.987500011920929,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10863","display_name":"Voice and Speech Disorders","score":0.9587000012397766,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"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/confounding","display_name":"Confounding","score":0.6926661133766174},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6014115810394287},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6010551452636719},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.5751515626907349},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.550103485584259},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4864909052848816},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3466925024986267},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3219638466835022},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.21520814299583435},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14694330096244812},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10508635640144348}],"concepts":[{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.6926661133766174},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6014115810394287},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6010551452636719},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.5751515626907349},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.550103485584259},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4864909052848816},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3466925024986267},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3219638466835022},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.21520814299583435},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14694330096244812},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10508635640144348},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea60663.2024.10596760","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea60663.2024.10596760","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W829541538","https://openalex.org/W1975347914","https://openalex.org/W2007675641","https://openalex.org/W2482812992","https://openalex.org/W2980041360","https://openalex.org/W2997655715","https://openalex.org/W3081734822","https://openalex.org/W3088067841","https://openalex.org/W3175510762","https://openalex.org/W3184562487","https://openalex.org/W3185939438","https://openalex.org/W3194472777","https://openalex.org/W4283778851","https://openalex.org/W4315489693","https://openalex.org/W4381685494"],"related_works":["https://openalex.org/W2994176440","https://openalex.org/W2510575233","https://openalex.org/W2481749367","https://openalex.org/W830718730","https://openalex.org/W2495367848","https://openalex.org/W2793477322","https://openalex.org/W4236720793","https://openalex.org/W1992228662","https://openalex.org/W4246786946","https://openalex.org/W2503931704"],"abstract_inverted_index":{"Cough":[0],"segmentation":[1,53,98,107,119,167],"using":[2],"Machine":[3],"Learning":[4],"is":[5,74,83,187,215],"known":[6],"to":[7,10,58,85,203],"be":[8],"sensitive":[9],"the":[11,17,24,43,92,176,219],"effects":[12],"of":[13,26,67,136,145,173,182,189,196],"class-confounding":[14],"char-acteristics":[15],"in":[16,42,106,175,218],"training":[18],"data,":[19],"significantly":[20],"skewing":[21],"predictions":[22],"with":[23,117,201],"introduction":[25],"bias.":[27],"Mechanisms":[28],"by":[29,157],"which":[30],"bias":[31],"may":[32],"permeate":[33],"a":[34,50,56,102,163],"dataset":[35],"include":[36],"small":[37],"sample":[38,142],"sizes":[39],"and":[40,65,82,96,129,139,141,147,169,193,210],"noise":[41,178],"samples.":[44],"In":[45],"this":[46],"paper,":[47],"we":[48],"propose":[49],"novel":[51],"audio":[52,69],"algorithm":[54,186],"as":[55],"means":[57],"solve":[59],"these":[60],"issues":[61],"through":[62],"automatic":[63],"isolation":[64],"extraction":[66],"biological":[68],"events.":[70],"Our":[71,151,185],"algorithm,":[72],"CoBrS,":[73],"based":[75],"on":[76,112],"heuristics":[77],"derived":[78],"from":[79,199],"physiological":[80],"assumptions":[81],"designed":[84],"accurately":[86],"isolate":[87],"all":[88,197],"cough":[89,115,166,192],"types,":[90],"including":[91],"complex":[93],"peal":[94,165],"cough,":[95],"provides":[97],"support":[99],"for":[100],"breaths,":[101],"previously":[103],"undocumented":[104],"modality":[105],"literature.":[108],"CoBrS":[109],"was":[110],"validated":[111],"three":[113],"public":[114],"datasets":[116],"varying":[118],"complexity":[120],"(Coswara,":[121],"COUGHVID,":[122],"Virufy)":[123],"against":[124],"two":[125,158],"state-of-the-art":[126],"algorithms":[127],"(COUGHVID":[128],"Virufy),":[130],"achieving":[131],"mean":[132],"signal":[133,208],"quality":[134,209],"increases":[135,144],"169.3%,":[137],"274.2%,":[138],"39.8%,":[140],"size":[143],"250%":[146],"280":[148],"%":[149,172],"respectively.":[150],"findings":[152],"were":[153],"also":[154],"manually":[155],"verified":[156],"human":[159],"raters":[160],"who":[161],"reported":[162],"94%":[164],"rate":[168],"that":[170,214],"88":[171],"coughs":[174],"moderate":[177,204],"test":[179],"subset":[180],"are":[181],"high":[183],"quality.":[184],"capable":[188],"effectively":[190],"isolating":[191],"breath":[194],"events":[195],"types":[198],"samples":[200],"low":[202],"noise,":[205],"whilst":[206],"improving":[207],"retaining":[211],"high-frequency":[212],"information":[213],"often":[216],"lost":[217],"process.":[220]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
