Matches in SemOpenAlex for { <https://semopenalex.org/work/W4200109619> ?p ?o ?g. }
Showing items 1 to 95 of
95
with 100 items per page.
- W4200109619 endingPage "2064" @default.
- W4200109619 startingPage "2053" @default.
- W4200109619 abstract "The diagnosis and management of diabetes require frequent monitoring of blood sugar levels. Prolonged exposure of most of the monosaccharides in the bloodstream results in the glycation of hemoglobin. This glycated hemoglobin (HbA1c) based test plays an important role to avoid diabetic complications. However, noninvasive estimation of HbA1c is a very new, promising, and challenging topic in modern bioengineering scopes. The purpose of this study is to develop and verify mathematical models in order to quantify the glycated hemoglobin <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>in-vivo</i> percentage non-invasively. This research utilized photon diffusion theory to develop the finger models and genetic symbolic regression methods to solve the models to estimate the level of glycated hemoglobin in the blood. The validation of these models with human participants indicated a high degree of correlation (0.887 and 0.907 Pearson's r value), and high precision (2.56% and 2.96% coefficient of variation (%CV)) for transmission and reflection type noninvasive digital volume pulse-based signals. This research will be a breakthrough for the application of noninvasive HbA1c estimation." @default.
- W4200109619 created "2021-12-31" @default.
- W4200109619 creator A5025430220 @default.
- W4200109619 creator A5075555539 @default.
- W4200109619 date "2022-06-01" @default.
- W4200109619 modified "2023-09-26" @default.
- W4200109619 title "Noninvasive Estimation of Glycated Hemoglobin In-Vivo Based on Photon Diffusion Theory and Genetic Symbolic Regression Models" @default.
- W4200109619 cites W144323897 @default.
- W4200109619 cites W1988780717 @default.
- W4200109619 cites W2001407903 @default.
- W4200109619 cites W2006554974 @default.
- W4200109619 cites W2010683549 @default.
- W4200109619 cites W2034832817 @default.
- W4200109619 cites W2042121905 @default.
- W4200109619 cites W2067201584 @default.
- W4200109619 cites W2069486462 @default.
- W4200109619 cites W2113331084 @default.
- W4200109619 cites W2123295456 @default.
- W4200109619 cites W2147301606 @default.
- W4200109619 cites W2169119609 @default.
- W4200109619 cites W2524401920 @default.
- W4200109619 cites W2530749192 @default.
- W4200109619 cites W2571899900 @default.
- W4200109619 cites W2583594951 @default.
- W4200109619 cites W2767735838 @default.
- W4200109619 cites W2789412476 @default.
- W4200109619 cites W2795539702 @default.
- W4200109619 cites W2912383245 @default.
- W4200109619 cites W2914695435 @default.
- W4200109619 cites W2944374577 @default.
- W4200109619 cites W3158885265 @default.
- W4200109619 cites W3162074258 @default.
- W4200109619 cites W4212823711 @default.
- W4200109619 cites W2566359201 @default.
- W4200109619 doi "https://doi.org/10.1109/tbme.2021.3135305" @default.
- W4200109619 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34905488" @default.
- W4200109619 hasPublicationYear "2022" @default.
- W4200109619 type Work @default.
- W4200109619 citedByCount "6" @default.
- W4200109619 countsByYear W42001096192022 @default.
- W4200109619 countsByYear W42001096192023 @default.
- W4200109619 crossrefType "journal-article" @default.
- W4200109619 hasAuthorship W4200109619A5025430220 @default.
- W4200109619 hasAuthorship W4200109619A5075555539 @default.
- W4200109619 hasConcept C126322002 @default.
- W4200109619 hasConcept C134018914 @default.
- W4200109619 hasConcept C136229726 @default.
- W4200109619 hasConcept C147990577 @default.
- W4200109619 hasConcept C150903083 @default.
- W4200109619 hasConcept C207001950 @default.
- W4200109619 hasConcept C2777180221 @default.
- W4200109619 hasConcept C2777538456 @default.
- W4200109619 hasConcept C2778917026 @default.
- W4200109619 hasConcept C33923547 @default.
- W4200109619 hasConcept C41008148 @default.
- W4200109619 hasConcept C555293320 @default.
- W4200109619 hasConcept C71924100 @default.
- W4200109619 hasConcept C86803240 @default.
- W4200109619 hasConceptScore W4200109619C126322002 @default.
- W4200109619 hasConceptScore W4200109619C134018914 @default.
- W4200109619 hasConceptScore W4200109619C136229726 @default.
- W4200109619 hasConceptScore W4200109619C147990577 @default.
- W4200109619 hasConceptScore W4200109619C150903083 @default.
- W4200109619 hasConceptScore W4200109619C207001950 @default.
- W4200109619 hasConceptScore W4200109619C2777180221 @default.
- W4200109619 hasConceptScore W4200109619C2777538456 @default.
- W4200109619 hasConceptScore W4200109619C2778917026 @default.
- W4200109619 hasConceptScore W4200109619C33923547 @default.
- W4200109619 hasConceptScore W4200109619C41008148 @default.
- W4200109619 hasConceptScore W4200109619C555293320 @default.
- W4200109619 hasConceptScore W4200109619C71924100 @default.
- W4200109619 hasConceptScore W4200109619C86803240 @default.
- W4200109619 hasFunder F4320312071 @default.
- W4200109619 hasFunder F4320322120 @default.
- W4200109619 hasIssue "6" @default.
- W4200109619 hasLocation W42001096191 @default.
- W4200109619 hasLocation W42001096192 @default.
- W4200109619 hasOpenAccess W4200109619 @default.
- W4200109619 hasPrimaryLocation W42001096191 @default.
- W4200109619 hasRelatedWork W1981588739 @default.
- W4200109619 hasRelatedWork W1988249849 @default.
- W4200109619 hasRelatedWork W2013034788 @default.
- W4200109619 hasRelatedWork W2030369818 @default.
- W4200109619 hasRelatedWork W2130799792 @default.
- W4200109619 hasRelatedWork W2159618315 @default.
- W4200109619 hasRelatedWork W2360827856 @default.
- W4200109619 hasRelatedWork W2376145428 @default.
- W4200109619 hasRelatedWork W2380274748 @default.
- W4200109619 hasRelatedWork W2392742368 @default.
- W4200109619 hasVolume "69" @default.
- W4200109619 isParatext "false" @default.
- W4200109619 isRetracted "false" @default.
- W4200109619 workType "article" @default.