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A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance
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 infor...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662433/ https://www.ncbi.nlm.nih.gov/pubmed/34884121 http://dx.doi.org/10.3390/s21238118 |
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author | Heo, Jin-Chul Kim, Doyoon An, Hyunsoo Son, Chang-Sik Cho, Sangwoo Lee, Jong-Ha |
author_facet | Heo, Jin-Chul Kim, Doyoon An, Hyunsoo Son, Chang-Sik Cho, Sangwoo Lee, Jong-Ha |
author_sort | Heo, Jin-Chul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8662433 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86624332021-12-11 A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance Heo, Jin-Chul Kim, Doyoon An, Hyunsoo Son, Chang-Sik Cho, Sangwoo Lee, Jong-Ha Sensors (Basel) Article 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. MDPI 2021-12-04 /pmc/articles/PMC8662433/ /pubmed/34884121 http://dx.doi.org/10.3390/s21238118 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Heo, Jin-Chul Kim, Doyoon An, Hyunsoo Son, Chang-Sik Cho, Sangwoo Lee, Jong-Ha A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance |
title | A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance |
title_full | A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance |
title_fullStr | A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance |
title_full_unstemmed | A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance |
title_short | A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance |
title_sort | novel biosensor and algorithm to predict vitamin d status by measuring skin impedance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8662433/ https://www.ncbi.nlm.nih.gov/pubmed/34884121 http://dx.doi.org/10.3390/s21238118 |
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