基于16通道差分信号采集的注意力评价系统设计

2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA) Pub Date : 2018-11-01 DOI:10.1109/CICTA.2018.8705710

Chang Cheng, Ting Ou, Deng Luo, Milin Zhang, Zhihua Wang

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引用次数: 0

摘要

提出了一种利用从前额采集的8通道差分额叶脑电图信号进行注意力评价的系统。采用台积电180nm CMOS工艺设计并制作了16通道神经信号采集模块。它由斩波lna、开关电容可编程增益放大器和12位SAR ADC组成。提出的数字注意力评价算法在FPGA上实现，包括IIR滤波器、滤波后神经信号强度指标的计算、基于支持向量机的分类器。

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Design of an Attention Evaluation System with 16-Channel Differential Signal Acquisition

This paper proposed an attention evaluation system using 8-channel differential prefrontal EEG signals acquired from the forehead. A 16-channel neural signal acquisition module was designed and fabricated in TSMC 180nm CMOS process. It consists of chopper LNAs, switched-Capacitor programmable gain amplifiers and 12-bit SAR ADC. The proposed digital attention evaluation algorithm was implemented on FPGA, including IIR filters, calculation of the filtered neural signal strength indicator, SVM-based classifier.

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来源期刊

2018 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA)

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