Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Heo, Jin-Chul | - |
dc.contributor.author | Kim, Doyoon | - |
dc.contributor.author | An, Hyunsoo | - |
dc.contributor.author | Son, Chang-Sik | - |
dc.contributor.author | Cho, Sangwoo | - |
dc.contributor.author | Lee, Jong-Ha | - |
dc.date.accessioned | 2021-12-23T08:00:01Z | - |
dc.date.available | 2021-12-23T08:00:01Z | - |
dc.date.created | 2021-12-16 | - |
dc.date.issued | 2021-12 | - |
dc.identifier.citation | Sensors, v.21, no.23 | - |
dc.identifier.issn | 1424-8220 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11750/15962 | - |
dc.description.abstract | The deficiency and excess of Vitamin D cause various diseases, necessitating continuous management; but it is not easy to accurately measure the serum vitamin D level in the body using a non-invasive method. The aim of this study is to investigate the correlation between vitamin D levels, body information obtained by an InBody scan, and blood parameters obtained during health checkups, to determine the optimum frequency of vitamin D quantification in the skin and to propose a vitamin D measurement method based on impedance. We assessed body composition, arm impedance, and blood vitamin D concentrations to determine the correlation between each element using multiple machine learning analyses and an algorithm which predicted the concentration of vitamin D in the body using the impedance value developed. Body fat percentage obtained from the InBody device and blood parameters albumin and lactate dehydrogenase correlated with vitamin D level. An impedance measurement frequency of 21.1 Hz was reflected in the blood vitamin D concentration at optimum levels, and a confidence level of about 75% for vitamin D in the body was confirmed. These data demonstrate that the concentration of vitamin D in the body can be predicted using impedance measurement values. This method can be used for predicting and monitoring vitamin D-related diseases and may be incorporated in wearable health measurement devices. © 2021 by the authors. Licensee MDPI, Basel, Switzerland. | - |
dc.language | English | - |
dc.publisher | Multidisciplinary Digital Publishing Institute (MDPI) | - |
dc.title | A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance | - |
dc.type | Article | - |
dc.identifier.doi | 10.3390/s21238118 | - |
dc.identifier.wosid | 000735126300001 | - |
dc.identifier.scopusid | 2-s2.0-85120535833 | - |
dc.type.local | Article(Overseas) | - |
dc.type.rims | ART | - |
dc.description.journalClass | 1 | - |
dc.citation.publicationname | Sensors | - |
dc.contributor.nonIdAuthor | Heo, Jin-Chul | - |
dc.contributor.nonIdAuthor | Kim, Doyoon | - |
dc.contributor.nonIdAuthor | An, Hyunsoo | - |
dc.contributor.nonIdAuthor | Son, Chang-Sik | - |
dc.contributor.nonIdAuthor | Cho, Sangwoo | - |
dc.contributor.nonIdAuthor | Lee, Jong-Ha | - |
dc.identifier.citationVolume | 21 | - |
dc.identifier.citationNumber | 23 | - |
dc.identifier.citationTitle | Sensors | - |
dc.description.isOpenAccess | Y | - |
dc.subject.keywordAuthor | biosignal | - |
dc.subject.keywordAuthor | impedance | - |
dc.subject.keywordAuthor | InBody | - |
dc.subject.keywordAuthor | multiple machine learning | - |
dc.subject.keywordAuthor | vitamin D | - |
dc.subject.keywordPlus | D DEFICIENCY | - |
dc.subject.keywordPlus | BODY-FAT | - |
dc.subject.keywordPlus | SERUM | - |
dc.subject.keywordPlus | QUANTIFICATION | - |
dc.subject.keywordPlus | MARKER | - |
dc.contributor.affiliatedAuthor | Heo, Jin-Chul | - |
dc.contributor.affiliatedAuthor | Kim, Doyoon | - |
dc.contributor.affiliatedAuthor | An, Hyunsoo | - |
dc.contributor.affiliatedAuthor | Son, Chang-Sik | - |
dc.contributor.affiliatedAuthor | Cho, Sangwoo | - |
dc.contributor.affiliatedAuthor | Lee, Jong-Ha | - |