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A new architecture for multi-channel neural recording microsystems based on delta-sigma modulation

机译:基于delta-sigma调制的多通道神经记录微系统新架构

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A new multi-channel neural recording architecture is proposed. In this architecture, preconditioned neural signals are digitized based on delta-sigma (ΔΣ) analog-to-digital (A/D) conversion technique. A/D conversion in the proposed approach is divided into two steps. In the first step, all the channels are converted into serial bit streams using per-channel ΔΣ-modulators. All the neural bit streams are then packaged and sent to an external setup, where the second step of ΔΣ-A/D conversion, i.e. decimation filtering, is performed. Moving the decimation filters to the external side will significantly save power and silicon area for the implantable device, both of which are of crucial importance in implantable microsystem design. The system presented in this paper, is an 8-channel neural recording system, designed using first-order ΔΣ-Modulators in a 0.5-μm 2P3M n-well CMOS process. The system, with 8 bits of resolution for quantization, demonstrates Signal-to-Noise and Distortion Ratio (SNDR) of 49dB, and dissipates as low as 16.5μW power per channel at 3V.
机译:提出了一种新的多通道神经记录架构。在这种体系结构中,基于delta-sigma(ΔΣ)模数(A / D)转换技术将预处理的神经信号数字化。所提出的方法中的A / D转换分为两个步骤。第一步,使用每通道ΔΣ调制器将所有通道转换为串行比特流。然后将所有神经位流打包并发送到外部设置,在此执行ΔΣ-A/ D转换的第二步,即抽取滤波。将抽取滤波器移至外部将大大节省可植入设备的功率和硅面积,这两者在可植入微系统设计中至关重要。本文介绍的系统是一个8通道神经记录系统,使用一阶ΔΣ调制器在0.5μm2P3M n阱CMOS工艺中设计。该系统具有8位量化分辨率,展示了49dB的信噪比和失真比(SNDR),并且在3V时每通道功耗低至16.5μW。

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