FPGA implementation of principal component regression (PCR) for real-time differentiation of dopamine from interferents.
FPGA implementation of principal component regression (PCR) for real-time differentiation of dopamine from interferents.
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主成分回归 (PCR) 的 FPGA 实现可实时区分多巴胺与干扰物。
DOI：
10.1109/embc.2015.7319551
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发表时间：
2015
期刊：
影响因子：
--
通讯作者：
Mohseni,Pedram
中科院分区：
文献类型：
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作者：
Bozorgzadeh,Bardia;Covey,DanielP;Garris,PaulA;Mohseni,Pedram
本文报道了现场可编程门阵列（FPGA）实现的数字信号处理（DSP）单元的实时处理的神经化学数据通过快速扫描循环伏安法（FSCV）在碳纤维微电极（CFM）。DSP单元包括抽取滤波器和两个嵌入式处理器，以处理由过采样记录前端获得的FSCV数据，并使用主成分回归（PCR）的化学计量学算法来真实的实时区分目标分析物和干扰物。与集成的FSCV传感前端接口，DSP单元成功地解决了多巴胺响应的pH值变化和背景电流漂移，两个常见的多巴胺干扰，在流动注射分析，包括混合溶液的团注，以及在生物学测试，包括电诱发，短暂的多巴胺释放在麻醉大鼠的前脑。
This paper reports on field-programmable gate array (FPGA) implementation of a digital signal processing (DSP) unit for real-time processing of neurochemical data obtained by fast-scan cyclic voltammetry (FSCV) at a carbonfiber microelectrode (CFM). The DSP unit comprises a decimation filter and two embedded processors to process the FSCV data obtained by an oversampling recording front-end and differentiate the target analyte from interferents in real time with a chemometrics algorithm using principal component regression (PCR). Interfaced with an integrated, FSCV-sensing front-end, the DSP unit successfully resolves the dopamine response from that of pH change and background-current drift, two common dopamine interferents, in flow injection analysis involving bolus injection of mixed solutions, as well as in biological tests involving electrically evoked, transient dopamine release in the forebrain of an anesthetized rat.