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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...

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Autores principales: Heo, Jin-Chul, Kim, Doyoon, An, Hyunsoo, Son, Chang-Sik, Cho, Sangwoo, Lee, Jong-Ha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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