Neuroimaging: design and development of compact DSP-based hardware for fast neural activity recording using electrical impedance tomography

Vu H. Pham; Hoang V. Tran; Thong C. Le; Hargsoon Yoon

doi:10.1117/12.2614941

18 April 2022 Neuroimaging: design and development of compact DSP-based hardware for fast neural activity recording using electrical impedance tomography

Vu H. Pham, Hoang V. Tran, Thong C. Le, Hargsoon Yoon

Author Affiliations +

Proceedings Volume PC12045, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022; PC1204508 (2022) https://doi.org/10.1117/12.2614941
Event: SPIE Smart Structures + Nondestructive Evaluation, 2022, Long Beach, California, United States

Abstract

Functional neuroimaging techniques are becoming mandatory tools for neuroscience research and brain disorders medical therapy, respectively. Electrical Impedance Tomography (EIT) has been impressed neuroscientists for its advantages of fast, radiation-free, and low-cost brain visualization method. Implementation of EIT on neuroimaging requires high performance data acquisition system which significantly depends on analog and digital electronic circuitry to achieve high and improve signal to noise ratio (SNR). A proposed EIT system based on high performance digital signal processor (DSP) has been successfully designed and developed for first prototype. A precise data acquisition unit that provides 24-bit 16 channels simultaneously sampling up to 100ksps was integrated into the system alongside with stable and biocompatible stimulation analog current source. Simulation of analog circuitry was constructed using PSPICE software. The proposed EIT system was designed using Cadence PCB Editor software to acquire compact integration requirements with all EIT components on a single circuit board. Evaluation of the proposed EIT system was conducted in a neural simulated environment phantom experiment. With this proposed system, EIT study on neural activity recording and neuroimaging has potentials to accelerate both in speed and performance to approach real-time imaging.

Conference Presentation

Citation Download Citation

Vu H. Pham, Hoang V. Tran, Thong C. Le, and Hargsoon Yoon "Neuroimaging: design and development of compact DSP-based hardware for fast neural activity recording using electrical impedance tomography", Proc. SPIE PC12045, Nano-, Bio-, Info-Tech Sensors, and Wearable Systems 2022, PC1204508 (18 April 2022); https://doi.org/10.1117/12.2614941

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KEYWORDS

Neuroimaging

Tomography

Analog electronics

Digital signal processing

Signal processing

Brain

Data acquisition

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