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Skin impedance might be a rough measure of Vitamin D – Dec 2021


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

Sensors 2021, 21(23), 8118; https://doi.org/10.3390/s21238118 by Jin-Chul Heo 1,Doyoon Kim 2,Hyunsoo An 2ORCID,Chang-Sik Son 3ORCID,Sangwoo Cho 4 andJong-Ha Lee 1,*ORCID
1 Department of Biomedical Engineering, School of Medicine, Keimyung University, Daegu 42601, Korea
2 Samsung Research, Samsung Electronics, Suwon 16677, Korea
3 Division of Intelligent Robot, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Korea
4 The Center for Advanced Technology in Testing Human Factors, Keimyung University, Daegu 42601, Korea

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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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Observations by Founder of VitaminDWiki (formerly an Instrumentation Engineer)

I designed and built devices that measured a wide range of parameters for >20 years
This study experimented with a wide range of frequencies to measure skin impedance and found 21Hz the best correlation to Vitamin D
Additional potential measurement inputs include:

  • Phase Angle
  • Compare Impedance at two different amplitudes
  • Compare Impedance at two different frequencies
  • Compare Impedance measured with different waveforms (sinusoid, square, pulse, etc)
  • Measure impedance using impulse response, rather than continuous waveform

There are a wide variety of analysis techniques
There are a wide variety of sources of interference not mentioned in this study- such as

  • sweat
  • hydration level
  • Ratio of body fat to muscle

Skin impedance appears to have the potential to roughly determine Vitamin D levels, but it is years in the future


Vitamin D estimation using Machine Learning (One of the references)

A Predictive Performance Analysis of Vitamin D Deficiency Severity Using Machine Learning Methods - IEEE, June 2020
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Many Machine Learning Techniques provide OK accuracy
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VitaminDWiki - Tests for Vitamin D contains:


Created by admin. Last Modification: Saturday December 4, 2021 13:53:36 GMT-0000 by admin. (Version 11)

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16690 ML Techniques.jpg admin 04 Dec, 2021 86.89 Kb 374
16689 Vitamin D vs skin impedance.jpg admin 04 Dec, 2021 30.72 Kb 281
16688 Skin Impedance Vitamin D.pdf admin 04 Dec, 2021 806.11 Kb 212
16687 IEEE.jpg admin 04 Dec, 2021 171.39 Kb 266
16686 IEEE_compressed.pdf admin 04 Dec, 2021 2.24 Mb 105