FPGA-based Prediction System for Neurotransmitter Concentration Measurement from Spectrophotometry Data

Abstract

Neurotransmitter sensing is essential in biomedical research to understand brain behavior, with Optical sensing useful for passive measurements. For instance, visible-light spectrophotometry can be used to detect and measure neurotransmitter concentrations in liquid. An important part of the process is the prediction of molecule concentration from the measured data. This work describes an FPGA-based system to measure neurotransmitter concentration in a multi-sensor platform, using a visible-light optical spectrometer and a simple regression predictor. The design required very few hardware resources and it was tested on dopamine data with excellent results.