{"id":"https://openalex.org/W4388235332","doi":"https://doi.org/10.1145/3617695.3617697","title":"An Ensemble Learning Approach for Exercise Detection in Patients with Type 1 Diabetes","display_name":"An Ensemble Learning Approach for Exercise Detection in Patients with Type 1 Diabetes","publication_year":2023,"publication_date":"2023-08-11","ids":{"openalex":"https://openalex.org/W4388235332","doi":"https://doi.org/10.1145/3617695.3617697"},"language":"en","primary_location":{"id":"doi:10.1145/3617695.3617697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3617695.3617697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Big Data and Internet of Things","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/A5102805920","display_name":"Ke Ma","orcid":"https://orcid.org/0009-0008-8947-8970"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ke Ma","raw_affiliation_strings":["Electrical and Computer Engineering, Stony Brook University, U.S"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Stony Brook University, U.S","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101397369","display_name":"Hongkai Chen","orcid":"https://orcid.org/0000-0001-7206-6584"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongkai Chen","raw_affiliation_strings":["Electrical and Computer Engineering, Stony Brook University, U.S"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Stony Brook University, U.S","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003166096","display_name":"Shan Lin","orcid":"https://orcid.org/0000-0001-6362-2972"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shan Lin","raw_affiliation_strings":["Electrical and Computer Engineering, Stony Brook University, U.S"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering, Stony Brook University, U.S","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102805920"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":0.2076,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60635075,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"70","last_page":"75"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10560","display_name":"Diabetes Management and Research","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9204999804496765,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9175000190734863,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular 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/leverage","display_name":"Leverage (statistics)","score":0.6552658081054688},{"id":"https://openalex.org/keywords/hypoglycemia","display_name":"Hypoglycemia","score":0.6315585374832153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5852147936820984},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.5339376330375671},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.501685380935669},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4852707087993622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45140230655670166},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.44011908769607544},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.16465848684310913}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6552658081054688},{"id":"https://openalex.org/C2780668416","wikidata":"https://www.wikidata.org/wiki/Q202758","display_name":"Hypoglycemia","level":3,"score":0.6315585374832153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5852147936820984},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.5339376330375671},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.501685380935669},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4852707087993622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45140230655670166},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.44011908769607544},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.16465848684310913}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3617695.3617697","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3617695.3617697","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 7th International Conference on Big Data and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1771429046","https://openalex.org/W1985857846","https://openalex.org/W1988710275","https://openalex.org/W1992554210","https://openalex.org/W2001875222","https://openalex.org/W2008630642","https://openalex.org/W2072195069","https://openalex.org/W2100328125","https://openalex.org/W2129987302","https://openalex.org/W2156353972","https://openalex.org/W2237750930","https://openalex.org/W2244371260","https://openalex.org/W2293119057","https://openalex.org/W2789758093","https://openalex.org/W2914018495","https://openalex.org/W2950412189","https://openalex.org/W2957937874","https://openalex.org/W2972745246","https://openalex.org/W4210767155","https://openalex.org/W4255560413","https://openalex.org/W4295934543","https://openalex.org/W4320527819"],"related_works":["https://openalex.org/W4213318607","https://openalex.org/W2084374993","https://openalex.org/W2373648995","https://openalex.org/W4361214851","https://openalex.org/W2132680616","https://openalex.org/W2743557138","https://openalex.org/W4312224640","https://openalex.org/W2733743115","https://openalex.org/W2309375030","https://openalex.org/W2998929145"],"abstract_inverted_index":{"Type":[0],"1":[1,35],"diabetes":[2],"is":[3],"a":[4,31,121,126,151,167,176],"serious":[5,82],"disease":[6],"in":[7,108],"which":[8,61,76],"individuals":[9],"are":[10,90],"unable":[11],"to":[12,19,38,65,67,74,93,129],"regulate":[13,46],"their":[14],"blood":[15,47],"glucose":[16,48,59],"levels,":[17],"leading":[18],"various":[20],"medical":[21],"complications.":[22],"Artificial":[23],"pancreas":[24,44],"(AP)":[25],"systems":[26,53],"have":[27,81],"been":[28],"developed":[29],"as":[30],"solution":[32],"for":[33,57,101,135,171],"type":[34],"diabetic":[36,156],"patients":[37,157],"mimic":[39],"the":[40,43,143],"behavior":[41],"of":[42,145,154,174,180],"and":[45,125,175],"levels.":[49],"However,":[50],"current":[51],"AP":[52],"lack":[54],"detection":[55,88,137,173],"capabilities":[56],"exercise-induced":[58],"intake,":[60],"can":[62,72],"last":[63],"up":[64],"4":[66],"8":[68],"hours.":[69],"This":[70],"incapability":[71],"lead":[73],"hypoglycemia,":[75],"if":[77],"left":[78],"untreated,":[79],"could":[80],"consequences,":[83],"including":[84],"death.":[85],"Existing":[86],"exercise":[87,102,136,172],"methods":[89],"either":[91],"limited":[92],"single":[94],"sensor":[95],"data":[96],"or":[97],"use":[98],"inaccurate":[99],"models":[100],"detection,":[103],"making":[104],"them":[105],"less":[106],"effective":[107],"practice.":[109],"In":[110],"this":[111],"work,":[112],"we":[113,149],"propose":[114],"an":[115,160],"ensemble":[116],"learning":[117],"framework":[118],"that":[119],"combines":[120],"data-driven":[122],"physiological":[123,132],"model":[124],"Siamese":[127],"network":[128],"leverage":[130],"multiple":[131,155],"signal":[133],"streams":[134],"with":[138],"high":[139],"accuracy.":[140],"To":[141],"evaluate":[142],"effectiveness":[144],"our":[146],"proposed":[147],"approach,":[148],"utilized":[150],"public":[152],"dataset":[153],"collected":[158],"from":[159],"8-week":[161],"clinical":[162],"trial.":[163],"Our":[164],"approach":[165],"achieves":[166],"true":[168,177],"positive":[169],"rate":[170,179],"negative":[178],",":[181],"outperforming":[182],"state-of-the-art":[183],"solutions.":[184]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-02-24T19:35:01.260952","created_date":"2025-10-10T00:00:00"}
