High Performance fNIRS System Utilizing Microzed Zynq-7000 System on Module Board

Date

2018-12

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Abstract

Commercial functional near-infrared spectroscopy (fNIRS) instruments used in cognitive neuroscience research tend to be cost prohibitive while also usually suffering from a low signal-to-noise ratio. This thesis describes the design and implementation of an application developed on the Microzed Zynq 7000 series System on Module (SoM) board, which is the core of a custom high performance modular fNIRS device. Utilizing the FPGA capabilities of the Microzed SoM allows improved signal quality by employing digital lock-in demodulation techniques to maximize signal to noise ratio, as well as communication with other electrical components required for an fNIRS system. Software was developed both on the Microzed’s ARM9 processor and external workstation PC to verify the lock-in technique and facilitate data transfer and device configuration. The results verify that the core of a cost effective and portable fNIRS instrument can be developed using an FPGA and processor system on module board.

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Keywords

Functional near-infrared spectroscopy (fNIRS), FPGA, Lock-in amplification, Zynq

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