{"id":"https://openalex.org/W4399144503","doi":"https://doi.org/10.1145/3654823.3654897","title":"Blood Glucose Monitoring Using Non-Invasive Features of Wearable Devices and Machine Learning","display_name":"Blood Glucose Monitoring Using Non-Invasive Features of Wearable Devices and Machine Learning","publication_year":2024,"publication_date":"2024-03-22","ids":{"openalex":"https://openalex.org/W4399144503","doi":"https://doi.org/10.1145/3654823.3654897"},"language":"en","primary_location":{"id":"doi:10.1145/3654823.3654897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","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":null,"display_name":"Jiawen Zhang","orcid":"https://orcid.org/0009-0000-1988-6129"},"institutions":[{"id":"https://openalex.org/I4210132079","display_name":"Hangzhou Wanxiang Polytechnic","ror":"https://ror.org/03sxnxp24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132079"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiawen Zhang","raw_affiliation_strings":["Polytechnic Institute, Zhejiang University, Hangzhou, China, China"],"raw_orcid":"https://orcid.org/0009-0000-1988-6129","affiliations":[{"raw_affiliation_string":"Polytechnic Institute, Zhejiang University, Hangzhou, China, China","institution_ids":["https://openalex.org/I4210132079","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067112096","display_name":"Xiaoyan Huang","orcid":"https://orcid.org/0000-0001-5185-9040"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyan Huang","raw_affiliation_strings":["College of Electrical Engineering, Zhejiang University, Hangzhou, China, China"],"raw_orcid":"https://orcid.org/0000-0001-5185-9040","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering, Zhejiang University, Hangzhou, China, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qian Chen","orcid":"https://orcid.org/0009-0003-3082-5660"},"institutions":[{"id":"https://openalex.org/I4210132079","display_name":"Hangzhou Wanxiang Polytechnic","ror":"https://ror.org/03sxnxp24","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132079"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qian Chen","raw_affiliation_strings":["Polytechnic Institute, Zhejiang University, Hangzhou, China, China"],"raw_orcid":"https://orcid.org/0009-0003-3082-5660","affiliations":[{"raw_affiliation_string":"Polytechnic Institute, Zhejiang University, Hangzhou, China, China","institution_ids":["https://openalex.org/I4210132079","https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210132079","https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06781556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"409","last_page":"413"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9936000108718872,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9763000011444092,"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/wearable-computer","display_name":"Wearable computer","score":0.8226605653762817},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7333874702453613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5739955902099609},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5661098957061768},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5169172286987305},{"id":"https://openalex.org/keywords/wearable-technology","display_name":"Wearable technology","score":0.4371642470359802},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3648151159286499},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3466337323188782},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.15340876579284668}],"concepts":[{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.8226605653762817},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7333874702453613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5739955902099609},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5661098957061768},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5169172286987305},{"id":"https://openalex.org/C54290928","wikidata":"https://www.wikidata.org/wiki/Q4845080","display_name":"Wearable technology","level":3,"score":0.4371642470359802},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3648151159286499},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3466337323188782},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.15340876579284668},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3654823.3654897","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3654823.3654897","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W607276140","https://openalex.org/W2461729787","https://openalex.org/W2789732774","https://openalex.org/W3007406359","https://openalex.org/W4200014273","https://openalex.org/W4229372191"],"related_works":["https://openalex.org/W3090300519","https://openalex.org/W2514492205","https://openalex.org/W4250401876","https://openalex.org/W2943851981","https://openalex.org/W2566526749","https://openalex.org/W2907667791","https://openalex.org/W3047461507","https://openalex.org/W3126390843","https://openalex.org/W4245880644","https://openalex.org/W4312415459"],"abstract_inverted_index":{"Abstract:":[0],"With":[1],"the":[2,10,83,113,116,120,127,136,143,171,174],"increasing":[3],"number":[4],"of":[5,12,98,115,122,145,173],"people":[6],"with":[7],"diabetes":[8],"and":[9,48,64,93,101],"popularity":[11],"wearable":[13,26,68],"devices,":[14],"it":[15,151],"becomes":[16],"a":[17,72,104,168],"novel":[18],"research":[19],"direction":[20],"to":[21,28,62,107,166],"use":[22],"sensor":[23,99,124],"data":[24,57,66],"from":[25,67,155],"devices":[27,69],"monitor":[29],"blood":[30,41,52,109,146,158],"glucose":[31,42,53,110,147,159],"in":[32,89],"healthy":[33],"people.":[34],"There":[35],"are":[36,58,130],"many":[37],"methods":[38,79],"used":[39],"for":[40,50,95],"prediction,":[43,54],"such":[44],"as":[45],"using":[46,65,82],"NIR":[47],"PPG":[49],"accurate":[51],"however,":[55],"these":[56],"usually":[59],"not":[60],"easy":[61],"acquire,":[63],"may":[70],"be":[71],"potential":[73],"direction.":[74],"In":[75],"this":[76],"paper,":[77],"two":[78,117],"were":[80],"proposed":[81],"latest":[84],"dataset":[85,163],"released":[86],"by":[87,139],"Physiconet":[88],"2023,":[90],"1-D":[91],"CNN":[92],"tsfresh,":[94],"feature":[96],"extraction":[97],"data,":[100],"then":[102],"construct":[103],"GRU":[105],"network":[106],"predict":[108],"values,":[111],"comparing":[112],"effectiveness":[114],"methods.":[118],"Besides,":[119],"effects":[121],"different":[123],"features":[125,137],"on":[126,170],"prediction":[128],"results":[129],"explored.":[131],"The":[132],"study":[133],"shows":[134],"that":[135],"extracted":[138],"tsfresh":[140],"can":[141],"follow":[142],"trend":[144],"changes":[148],"well,":[149],"but":[150],"is":[152,164],"still":[153],"far":[154],"predicting":[156],"specific":[157],"value.":[160],"A":[161],"larger":[162],"needed":[165],"make":[167],"conclusion":[169],"feasibility":[172],"study.":[175]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}