Continuous-time micropower interface for neural recording applications
Continuous-time micropower interface for neural recording applications
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DOI：
10.1109/iscas.2016.7527295
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发表时间：
2016-05
期刊：
影响因子：
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通讯作者：
Marios Elia;Lieuwe B. Leene;T. Constandinou
中科院分区：
文献类型：
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作者：
Marios Elia;Lieuwe B. Leene;T. Constandinou
本文提出了一种适用于低功耗神经记录应用的新型放大器结构。通过使用连续时间信号表示，所提出的拓扑主要利用了数字拓扑，利用了时域系统中使用的有效技术。这包括高阶反馈动态，允许直接模拟信号量化和接近理想的噪声整形积分器结构。该系统在0.18 μm标准CMOS上实现，具有6 kHz带宽和高线性全动态范围的低噪声测量能力。仿真结果表明，当电源电压为0.5 V时，输出功率为1.145 μW，输入参考热噪声为7.7 μVrms。
This paper presents a novel amplifier architecture intended for low power neural recording applications. By using continuous-time signal representation, the proposed topology predominantly leverages digital topologies taking advantage of efficient techniques used in time domain systems. This includes higher order feedback dynamics that allow direct analogue signal quantization and near ideal integrator structures for noise shaping. The system implemented in 0.18 μm standard CMOS demonstrates the capability for low noise instrumentation with a bandwidth of 6 kHz and highly linear full dynamic range. Simulation results indicate 1.145 μW budget from 0.5 V supply voltage with an input referred thermal noise of 7.7 μVrms.