Simon Bellemare-Rousseau, Gabriel P. Lachance, Shimwe Dominique Niyonambaza, Élodie Boisselier, M. Boukadoum, A. Miled
{"title":"基于fpga的分光光度法神经递质浓度预测系统","authors":"Simon Bellemare-Rousseau, Gabriel P. Lachance, Shimwe Dominique Niyonambaza, Élodie Boisselier, M. Boukadoum, A. Miled","doi":"10.1109/newcas49341.2020.9159823","DOIUrl":null,"url":null,"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.","PeriodicalId":135163,"journal":{"name":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"FPGA-based Prediction System for Neurotransmitter Concentration Measurement from Spectrophotometry Data\",\"authors\":\"Simon Bellemare-Rousseau, Gabriel P. Lachance, Shimwe Dominique Niyonambaza, Élodie Boisselier, M. Boukadoum, A. Miled\",\"doi\":\"10.1109/newcas49341.2020.9159823\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":135163,\"journal\":{\"name\":\"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/newcas49341.2020.9159823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 18th IEEE International New Circuits and Systems Conference (NEWCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/newcas49341.2020.9159823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA-based Prediction System for Neurotransmitter Concentration Measurement from Spectrophotometry Data
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.