{"id":"https://openalex.org/W2166763069","doi":"https://doi.org/10.1109/tbme.2010.2047504","title":"The Importance of Different Frequency Bands in Predicting Subcutaneous Glucose Concentration in Type 1 Diabetic Patients","display_name":"The Importance of Different Frequency Bands in Predicting Subcutaneous Glucose Concentration in Type 1 Diabetic Patients","publication_year":2010,"publication_date":"2010-04-16","ids":{"openalex":"https://openalex.org/W2166763069","doi":"https://doi.org/10.1109/tbme.2010.2047504","mag":"2166763069","pmid":"https://pubmed.ncbi.nlm.nih.gov/20403780"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2010.2047504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2047504","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101464613","display_name":"Yinghui Lu","orcid":"https://orcid.org/0000-0002-7768-6894"},"institutions":[{"id":"https://openalex.org/I2800986571","display_name":"Telemedicine & Advanced Technology Research Center","ror":"https://ror.org/014pvr265","country_code":"US","type":"other","lineage":["https://openalex.org/I106965489","https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2800986571","https://openalex.org/I2802581893"]},{"id":"https://openalex.org/I2802581893","display_name":"United States Army Medical Research and Development Command","ror":"https://ror.org/03cd02q50","country_code":"US","type":"facility","lineage":["https://openalex.org/I106965489","https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802581893"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yinghui Lu","raw_affiliation_strings":["Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, Fort Detrick, MD 21702, USA. ylu@bioanalysis.org","Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, Fort Detrick, MD 21702, USA. ylu@bioanalysis.org","institution_ids":["https://openalex.org/I2802581893"]},{"raw_affiliation_string":"Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, MD, USA","institution_ids":["https://openalex.org/I2800986571","https://openalex.org/I2802581893"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075802808","display_name":"Andrei Gribok","orcid":"https://orcid.org/0000-0003-1034-7393"},"institutions":[{"id":"https://openalex.org/I2800986571","display_name":"Telemedicine & Advanced Technology Research Center","ror":"https://ror.org/014pvr265","country_code":"US","type":"other","lineage":["https://openalex.org/I106965489","https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2800986571","https://openalex.org/I2802581893"]},{"id":"https://openalex.org/I2802581893","display_name":"United States Army Medical Research and Development Command","ror":"https://ror.org/03cd02q50","country_code":"US","type":"facility","lineage":["https://openalex.org/I106965489","https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802581893"]},{"id":"https://openalex.org/I75027704","display_name":"University of Tennessee at Knoxville","ror":"https://ror.org/020f3ap87","country_code":"US","type":"education","lineage":["https://openalex.org/I75027704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A V Gribok","raw_affiliation_strings":["Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, MD, USA","Department of Nuclear Engineering, University of Tennessee, Knoxville, TN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, MD, USA","institution_ids":["https://openalex.org/I2800986571","https://openalex.org/I2802581893"]},{"raw_affiliation_string":"Department of Nuclear Engineering, University of Tennessee, Knoxville, TN, USA","institution_ids":["https://openalex.org/I75027704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110343327","display_name":"W. Kenneth Ward","orcid":null},"institutions":[{"id":"https://openalex.org/I4210102551","display_name":"iSense (United States)","ror":"https://ror.org/00tbnam70","country_code":"US","type":"company","lineage":["https://openalex.org/I4210102551"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W Kenneth Ward","raw_affiliation_strings":["ISense Corporation and Oregon Health and Sciences University, Wilsonville, OR, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ISense Corporation and Oregon Health and Sciences University, Wilsonville, OR, USA","institution_ids":["https://openalex.org/I4210102551"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020594190","display_name":"Jaques Reifman","orcid":"https://orcid.org/0000-0001-7292-2029"},"institutions":[{"id":"https://openalex.org/I2800986571","display_name":"Telemedicine & Advanced Technology Research Center","ror":"https://ror.org/014pvr265","country_code":"US","type":"other","lineage":["https://openalex.org/I106965489","https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2800986571","https://openalex.org/I2802581893"]},{"id":"https://openalex.org/I2802581893","display_name":"United States Army Medical Research and Development Command","ror":"https://ror.org/03cd02q50","country_code":"US","type":"facility","lineage":["https://openalex.org/I106965489","https://openalex.org/I1304082316","https://openalex.org/I1330347796","https://openalex.org/I2802581893"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J Reifman","raw_affiliation_strings":["Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Bioinformatics Cell, Telemedicine and Advanced Technology Research Center, U.S. Army Medical Research and Materiel Command, MD, USA","institution_ids":["https://openalex.org/I2800986571","https://openalex.org/I2802581893"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3771,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.81614059,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"57","issue":"8","first_page":"1839","last_page":"1846"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9997000098228455,"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":0.9997000098228455,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9829000234603882,"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9445000290870667,"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/autoregressive-model","display_name":"Autoregressive model","score":0.621507465839386},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.5626562237739563},{"id":"https://openalex.org/keywords/continuous-glucose-monitoring","display_name":"Continuous glucose monitoring","score":0.45912373065948486},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.4519557058811188},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43714407086372375},{"id":"https://openalex.org/keywords/mean-squared-prediction-error","display_name":"Mean squared prediction error","score":0.43429940938949585},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4202061891555786},{"id":"https://openalex.org/keywords/spectral-density","display_name":"Spectral density","score":0.42020177841186523},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.4189680516719818},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4166976809501648},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40386301279067993},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.33776581287384033},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.33730074763298035},{"id":"https://openalex.org/keywords/biomedical-engineering","display_name":"Biomedical engineering","score":0.3325430154800415},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.3197867274284363},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2914121448993683},{"id":"https://openalex.org/keywords/type-1-diabetes","display_name":"Type 1 diabetes","score":0.2723487615585327},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1329546570777893}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.621507465839386},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.5626562237739563},{"id":"https://openalex.org/C2986379492","wikidata":"https://www.wikidata.org/wiki/Q1638492","display_name":"Continuous glucose monitoring","level":4,"score":0.45912373065948486},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.4519557058811188},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43714407086372375},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.43429940938949585},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4202061891555786},{"id":"https://openalex.org/C168110828","wikidata":"https://www.wikidata.org/wiki/Q1331626","display_name":"Spectral density","level":2,"score":0.42020177841186523},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.4189680516719818},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4166976809501648},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40386301279067993},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.33776581287384033},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.33730074763298035},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","level":1,"score":0.3325430154800415},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.3197867274284363},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2914121448993683},{"id":"https://openalex.org/C2781232474","wikidata":"https://www.wikidata.org/wiki/Q124407","display_name":"Type 1 diabetes","level":3,"score":0.2723487615585327},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1329546570777893},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D003922","descriptor_name":"Diabetes Mellitus, Type 1","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D005947","descriptor_name":"Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D005947","descriptor_name":"Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D005947","descriptor_name":"Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D005947","descriptor_name":"Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D005947","descriptor_name":"Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D005947","descriptor_name":"Glucose","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D015190","descriptor_name":"Blood Glucose Self-Monitoring","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018670","descriptor_name":"Monitoring, Ambulatory","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040521","descriptor_name":"Subcutaneous Tissue","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D040521","descriptor_name":"Subcutaneous Tissue","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D040521","descriptor_name":"Subcutaneous Tissue","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D040521","descriptor_name":"Subcutaneous Tissue","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D040521","descriptor_name":"Subcutaneous Tissue","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false},{"descriptor_ui":"D040521","descriptor_name":"Subcutaneous Tissue","qualifier_ui":"Q000737","qualifier_name":"chemistry","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2010.2047504","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2010.2047504","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:20403780","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/20403780","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.5955","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.5955","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://bhsai.org/pubs/Lu_2010_The_Importance_of_Different_Frequency.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1921767431","https://openalex.org/W1966264494","https://openalex.org/W1967434552","https://openalex.org/W2000181751","https://openalex.org/W2029027380","https://openalex.org/W2033493106","https://openalex.org/W2037914222","https://openalex.org/W2078198079","https://openalex.org/W2082460441","https://openalex.org/W2099147848","https://openalex.org/W2101539208","https://openalex.org/W2104768673","https://openalex.org/W2111485734","https://openalex.org/W2122839122","https://openalex.org/W2124355883","https://openalex.org/W2126105335","https://openalex.org/W2132115169","https://openalex.org/W2134080054","https://openalex.org/W2150248172","https://openalex.org/W2150249138","https://openalex.org/W2158711921","https://openalex.org/W2313953460","https://openalex.org/W2317353168"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2942366970","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2562400057","https://openalex.org/W1692008701","https://openalex.org/W1976222415","https://openalex.org/W3124105963","https://openalex.org/W2515547341"],"abstract_inverted_index":{"We":[0],"investigated":[1],"the":[2,17,70,150,156],"relative":[3],"importance":[4],"and":[5,63,73,101,118,163,199],"predictive":[6,123],"power":[7,124],"of":[8,12,22,39,66,69,131,140,149,171,196,206],"different":[9],"frequency":[10,67],"bands":[11,68,141],"subcutaneous":[13],"glucose":[14,23,41,54,71,207],"signals":[15,42,170],"for":[16,86,128,203],"short-term":[18,204],"(0-50":[19],"min)":[20],"forecasting":[21],"concentrations":[24,208],"in":[25,104,185,209],"type":[26],"1":[27],"diabetic":[28,210],"patients":[29,47],"with":[30,75,113],"data-driven":[31,201],"autoregressive":[32],"(AR)":[33],"models.":[34],"The":[35,82],"study":[36],"data":[37],"consisted":[38],"minute-by-minute":[40],"collected":[43],"from":[44,147],"nine":[45],"deidentified":[46],"over":[48],"a":[49,76,110],"five-day":[50],"period":[51,159],"using":[52,61],"continuous":[53],"monitoring":[55],"devices.":[56],"AR":[57,105,164],"models":[58,107,136,165,202],"were":[59],"developed":[60,168],"single":[62],"pairwise":[64],"combinations":[65],"signal":[72],"compared":[74],"reference":[77,151],"model":[78,152],"including":[79],"all":[80],"bands.":[81],"results":[83],"suggest":[84],"that:":[85],"open-loop":[87],"applications,":[88],"there":[89],"is":[90,161],"no":[91],"need":[92],"to":[93,133],"explicitly":[94],"represent":[95],"exogenous":[96],"inputs,":[97],"such":[98],"as":[99,153,155],"meals":[100],"insulin":[102],"intake,":[103],"models;":[106],"based":[108,137],"on":[109,138,169],"single-frequency":[111],"band,":[112],"periods":[114],"between":[115],"60-120":[116,157],"min":[117,158],"150-500":[119],"min,":[120],"yield":[121],"good":[122],"(error":[125],"<3":[126],"mg/dL)":[127],"prediction":[129,186,205],"horizons":[130],"up":[132],"25":[134],"min;":[135],"pairs":[139],"produce":[142],"predictions":[143],"that":[144],"are":[145],"indistinguishable":[146],"those":[148],"long":[154,179],"band":[160],"included;":[162],"can":[166],"be":[167],"short":[172],"length":[173],"(approximately":[174],"300":[175],"min),":[176],"i.e.,":[177],"ignoring":[178],"circadian":[180],"rhythms,":[181],"without":[182],"any":[183],"detriment":[184],"accuracy.":[187],"Together,":[188],"these":[189],"findings":[190],"provide":[191],"insights":[192],"into":[193],"efficient":[194],"development":[195],"more":[197],"effective":[198],"parsimonious":[200],"patients.":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":4},{"year":2012,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
