Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom-Reference-Cited by-同舟云学术

Emulation of Brain Metabolic Activities Based on a Dynamically Controllable Optical Phantom

Published:2023-01 Issue: Volume:4 Page:
ISSN:2692-7632
Container-title:Cyborg and Bionic Systems
language:en
Short-container-title:Cyborg Bionic Syst

Author:

Lin Yuxiang¹,Chen Cheng¹^ORCID,Ma Zhouchen¹,Sabor Nabil²,Wei Yanyan³,Zhang Tianhong³,Sawan Mohamad⁴,Wang Guoxing¹,Zhao Jian¹

Affiliation:

1. Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.

2. Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt.

3. Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

4. CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, China.

Abstract

This paper presents a dynamic optical phantom for the simulation of metabolic activities in the brain, and a linear equivalent model is built for control voltage versus substance concentration. A solid–solid dynamic optical phantom is realized by using liquid crystal film as a voltage-controlled light intensity regulator on the surface of basic phantom, which uses epoxy resin as matrix material and nanometer carbon powder and titanium dioxide powder as absorption and scattering dopants, respectively. The dynamic phantom could mimic near-infrared spectrum (NIRS) signals with sampling rate up to 10 Hz, and the maximum simulation errors for oxy-hemoglobin and deoxy-hemoglobin concentrations varying in the range of 1 μmol/l are 7.0% and 17.9%, respectively. Compared with similar solid biomimetic phantoms, the adjustable mimic substance concentration range is extended by an order of magnitude, which meets the simulation requirements of most brain NIRS signals.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Applied Mathematics,General Mathematics

Reference26 articles.

1. Classifying motion intention of step length and synchronous walking speed by functional near-infrared spectroscopy;Zhu Y;Cyborg Bionic Syst,2021

2. An energy-efficient wearable functional near-infrared spectroscopy system employing dual-level adaptive sampling technique;Chen C;IEEE Trans Bio Circuits Syst,2022

3. Mapping distributed brain function and networks with diffuse optical tomography;Eggebrecht AT;Nat Photonics,2014

4. A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care;Rwei AY;Proc Natl Acad Sci U S A,2020

5. Reversal of decreases in cerebral saturation in high-risk cardiac surgery;Deschamps A;J Cardiothorac Vasc Anesth,2013

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