<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>There is a strong need for a non-invasive measurement technique that is capable of accurately identifying the physiological condition change or heterogeneity of subcutaneous adipose tissue (SAT) by localizing the abnormalities within the compartment. This paper aims to investigate the feasibility of Electrical Impedance Tomography (EIT) to assess the interstitial fluid in subcutaneous adipose tissue as an enhancement method of bioelectrical impedance spectroscopy (BIS). Here, we demonstrate the preliminary result of EIT with a wearable 16 electrodes sensor. The image-based reference EIT with fat weighted threshold method is proposed. In order to evaluate the performance of our novel method, a physiological swelling experiment is conducted, and Multi-Frequency Bioelectrical Impedance Analysis (MFBIA) is also applied as a comparison with EIT results. The experimental results showed that the proposed method was able to distinguish the physiological swelling condition and effectively to remove the unexpected background noise. Furthermore, the conductivity variation in the subcutaneous layer had a good correlation with extracellular water volume change from MFBIA data; the correlation coefficient R<sup>2</sup> = 0.927. It is concluded that the proposed method provides a significant prospect for SAT assessment.</p>
</abstract>

There is a strong need for a non-invasive measurement technique that is capable of accurately identifying the physiological condition change or heterogeneity of subcutaneous adipose tissue (SAT) by localizing the abnormalities within the compartment. This paper aims to investigate the feasibility of Electrical Impedance Tomography (EIT) to assess the interstitial fluid in subcutaneous adipose tissue as an enhancement method of bioelectrical impedance spectroscopy (BIS). Here, we demonstrate the preliminary result of EIT with a wearable 16 electrodes sensor. The image-based reference EIT with fat weighted threshold method is proposed. In order to evaluate the performance of our novel method, a physiological swelling experiment is conducted, and Multi-Frequency Bioelectrical Impedance Analysis (MFBIA) is also applied as a comparison with EIT results. The experimental results showed that the proposed method was able to distinguish the physiological swelling condition and effectively to remove the unexpected background noise. Furthermore, the conductivity variation in the subcutaneous layer had a good correlation with extracellular water volume change from MFBIA data; the correlation coefficient R2 = 0.927. It is concluded that the proposed method provides a significant prospect for SAT assessment.

Investigation of physiological swelling on conductivity distribution in lower leg subcutaneous tissue by electrical impedance tomography

Graduate School of Science & Eng., Dept. Mechanical Eng.

Graduate School of Medicine, Dept. Reconstructive & Aesthetic Surgery

Journal of Electrical Bioimpedance

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

There is a strong need for a non-invasive measurement technique that is capable of accurately identifying the physiological condition change or heterogeneity...

Investigation of physiological swelling on conductivity distribution in lower leg subcutaneous tissue by electrical impedance tomography

Published Online: May 14, 2020

Page range: 19 - 25

Received: Feb 04, 2020

DOI: https://doi.org/10.2478/joeb-2020-0004

Keywords
Subcutaneous adipose tissue assessment, Electrical Impedance Tomography, Wearable sensor, Physiological swelling, Multi-Frequency Bioelectrical Impedance Analysis

© 2020 R. Ogawa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Investigation of physiological swelling on conductivity distribution in lower leg subcutaneous tissue by electrical impedance tomography

Published Online: May 14, 2020

Page range: 19 - 25

Received: Feb 04, 2020

DOI: https://doi.org/10.2478/joeb-2020-0004

KeywordsSubcutaneous adipose tissue assessment, Electrical Impedance Tomography, Wearable sensor, Physiological swelling, Multi-Frequency Bioelectrical Impedance Analysis

© 2020 R. Ogawa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Keywords
Subcutaneous adipose tissue assessment, Electrical Impedance Tomography, Wearable sensor, Physiological swelling, Multi-Frequency Bioelectrical Impedance Analysis