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A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance

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Author(s)
Jin-Chul HeoDoyoon KimHyunsoo AnChang-Sik SonSangwoo ChoJong-Ha Lee
Keimyung Author(s)
Lee, Jong Ha
Department
Dept. of Biomedical Engineering (의용공학과)
Journal Title
Sensors (Basel)
Issued Date
2021
Volume
21
Issue
23
Keyword
biosignalimpedanceInBodymultiple machine learningvitamin D
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.
Keimyung Author(s)(Kor)
이종하
Publisher
School of Medicine (의과대학)
Citation
Jin-Chul Heo et al. (2021). A Novel Biosensor and Algorithm to Predict Vitamin D Status by Measuring Skin Impedance. Sensors (Basel), 21(23), 8118. doi: 10.3390/s21238118
Type
Article
ISSN
1424-8220
Source
https://www.mdpi.com/1424-8220/21/23/8118
DOI
10.3390/s21238118
URI
https://kumel.medlib.dsmc.or.kr/handle/2015.oak/44158
Appears in Collections:
1. School of Medicine (의과대학) > Dept. of Biomedical Engineering (의용공학과)
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