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

Yuxiang Lin; Cheng Chen; Zhouchen Ma; Nabil Sabor; Yanyan Wei; Tianhong Zhang; Mohamad Sawan; Guoxing Wang; Jian Zhao

doi:10.34133/cbsystems.0047

Cyborg and Bionic Systems (Jan 2023)

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

Yuxiang Lin,
Cheng Chen,
Zhouchen Ma,
Nabil Sabor,
Yanyan Wei,
Tianhong Zhang,
Mohamad Sawan,
Guoxing Wang,
Jian Zhao

Affiliations

Yuxiang Lin: Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.
Cheng Chen: Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.
Zhouchen Ma: Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.
Nabil Sabor: Electrical Engineering Department, Faculty of Engineering, Assiut University, Assiut, Egypt.
Yanyan Wei: Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tianhong Zhang: Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mohamad Sawan: CenBRAIN Neurotech, School of Engineering, Westlake University, Hangzhou, China.
Guoxing Wang: Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.
Jian Zhao: Department of Micro-Nano Electronics, Shanghai Jiao Tong University, Shanghai, China.

DOI: https://doi.org/10.34133/cbsystems.0047
Journal volume & issue: Vol. 4

Abstract

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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.

Published in Cyborg and Bionic Systems

ISSN: 2692-7632 (Online)
Publisher: American Association for the Advancement of Science (AAAS)
Country of publisher: United States
LCC subjects: Science: Science (General): Cybernetics
Website: https://spj.sciencemag.org/journals/cbsystems/

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