{"id":"https://openalex.org/W4412164236","doi":"https://doi.org/10.1109/memea65319.2025.11067977","title":"Coughing in Steps: Transferring Knowledge from Dynamic Physical Activity Dataset to Respiratory Disturbance Classification","display_name":"Coughing in Steps: Transferring Knowledge from Dynamic Physical Activity Dataset to Respiratory Disturbance Classification","publication_year":2025,"publication_date":"2025-05-28","ids":{"openalex":"https://openalex.org/W4412164236","doi":"https://doi.org/10.1109/memea65319.2025.11067977"},"language":"en","primary_location":{"id":"doi:10.1109/memea65319.2025.11067977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11067977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements &amp;amp; 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/A5057346373","display_name":"Passara Chanchotisatien","orcid":"https://orcid.org/0000-0001-5068-6205"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Passara Chanchotisatien","raw_affiliation_strings":["School of Informatics, The University of Edinburgh,Edinburgh,United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Informatics, The University of Edinburgh,Edinburgh,United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103993758","display_name":"DK Arvind","orcid":"https://orcid.org/0000-0002-2795-2074"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"DK Arvind","raw_affiliation_strings":["School of Informatics, The University of Edinburgh,Edinburgh,United Kingdom"],"affiliations":[{"raw_affiliation_string":"School of Informatics, The University of Edinburgh,Edinburgh,United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5057346373"],"corresponding_institution_ids":["https://openalex.org/I98677209"],"apc_list":null,"apc_paid":null,"fwci":3.0866,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.91798438,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9887999892234802,"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/T10143","display_name":"Chronic Obstructive Pulmonary Disease (COPD) Research","score":0.9887999892234802,"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/disturbance","display_name":"Disturbance (geology)","score":0.8490729331970215},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6072527170181274},{"id":"https://openalex.org/keywords/respiratory-system","display_name":"Respiratory system","score":0.4402744174003601},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3518354594707489},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3349863886833191},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16291803121566772},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07696101069450378}],"concepts":[{"id":"https://openalex.org/C2777601987","wikidata":"https://www.wikidata.org/wiki/Q5283581","display_name":"Disturbance (geology)","level":2,"score":0.8490729331970215},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6072527170181274},{"id":"https://openalex.org/C534529494","wikidata":"https://www.wikidata.org/wiki/Q7891","display_name":"Respiratory system","level":2,"score":0.4402744174003601},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3518354594707489},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3349863886833191},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16291803121566772},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07696101069450378},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/memea65319.2025.11067977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/memea65319.2025.11067977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE Medical Measurements &amp;amp; Applications (MeMeA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320332","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90"},{"id":"https://openalex.org/F4320335041","display_name":"School of Informatics, University of Edinburgh","ror":"https://ror.org/01nrxwf90"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2020624939","https://openalex.org/W2044098836","https://openalex.org/W2059096749","https://openalex.org/W2064675550","https://openalex.org/W2079735306","https://openalex.org/W2120194712","https://openalex.org/W2136121047","https://openalex.org/W2157331557","https://openalex.org/W2164981395","https://openalex.org/W2395579298","https://openalex.org/W2518911984","https://openalex.org/W2983060346","https://openalex.org/W4206564475","https://openalex.org/W4223572740","https://openalex.org/W4251110382","https://openalex.org/W4285036903","https://openalex.org/W6746151544"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2038604956","https://openalex.org/W2296560746","https://openalex.org/W2338222801","https://openalex.org/W2347583731","https://openalex.org/W2106602008","https://openalex.org/W2067832159","https://openalex.org/W2153353177"],"abstract_inverted_index":{"Quantifying":[0],"cough":[1,12,32,54,80,185],"events":[2],"is":[3,14,58],"critical":[4],"for":[5,42,52,180],"monitoring":[6,186],"respiratory":[7,65,115,175],"conditions,":[8],"yet":[9],"collecting":[10],"labelled":[11,64,174],"data":[13],"inherently":[15],"challenging":[16],"due":[17],"to":[18,78,106,114,134,168],"its":[19],"sporadic":[20],"nature":[21],"and":[22,34,40,102,143,183],"reliance":[23],"on":[24],"labour-intensive":[25],"annotation.":[26],"Traditional":[27],"methods,":[28],"such":[29],"as":[30,75],"self-reported":[31],"diaries":[33],"observer-based":[35],"counting,":[36],"suffer":[37],"from":[38,85,139],"subjectivity":[39],"impracticality":[41],"large-scale":[43],"monitoring.":[44],"While":[45],"wearable":[46],"accelerometers":[47],"provide":[48],"a":[49,76],"promising":[50],"alternative":[51],"continuous":[53],"detection,":[55],"their":[56],"effectiveness":[57],"limited":[59,173],"by":[60,82],"the":[61,108,147,164,170,178],"scarcity":[62],"of":[63,110,132,166,172],"datasets.":[66,90],"In":[67],"this":[68],"study,":[69],"we":[70],"explore":[71],"transfer":[72],"learning":[73,95],"(TL)":[74],"means":[77],"improve":[79],"classification":[81,124],"leveraging":[83],"knowledge":[84],"human":[86],"activity":[87],"recognition":[88],"(HAR)":[89],"We":[91],"evaluate":[92],"eight":[93],"deep":[94],"architectures,":[96],"including":[97],"recurrent":[98],"neural":[99],"networks":[100],"(RNNs)":[101],"convolutional-recurrent":[103],"hybrid":[104],"models,":[105],"investigate":[107],"feasibility":[109],"transferring":[111],"HAR-learned":[112],"representations":[113,156],"disturbance":[116],"classification.":[117],"Our":[118],"findings":[119],"demonstrate":[120],"that":[121],"TL":[122,167],"enhances":[123],"accuracy,":[125],"particularly":[126],"in":[127],"data-scarce":[128],"scenarios,":[129],"with":[130,150],"improvements":[131],"up":[133],"14.53%":[135],"over":[136],"models":[137],"trained":[138],"scratch.":[140],"Notably,":[141],"BiLSTM":[142],"CNN-BiLSTM":[144],"architectures":[145],"achieve":[146],"highest":[148],"performance,":[149],"optimal":[151],"configurations":[152],"preserving":[153],"HAR-derived":[154],"feature":[155],"while":[157],"allowing":[158],"task-specific":[159],"fine-tuning.":[160],"These":[161],"results":[162],"highlight":[163],"potential":[165],"mitigate":[169],"challenges":[171],"data,":[176],"paving":[177],"way":[179],"more":[181],"efficient":[182],"scalable":[184],"systems":[187],"using":[188],"accelerometers.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
