A 0.0046-mm2 Two-Step Incremental Delta–Sigma Analog-to-Digital Converter Neuronal Recording Front End With 120-mVpp Offset Compensation

A 0.0046-mm2 Two-Step Incremental Delta–Sigma Analog-to-Digital Converter Neuronal Recording Front End With 120-mVpp Offset Compensation
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具有 120mVpp 偏移补偿的 0.0046mm2 两步增量 Delta-Sigma 模数转换器神经元记录前端

DOI:
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发表时间:
2023
影响因子:
5.4
通讯作者:
Y. Manoli
Y. Manoli
中科院分区:
工程技术1区
文献类型:
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作者:
D. Wendler;Daniel De Dorigo;Mohammad Amayreh;Alexander Bleitner;M. Marx;Roman Willaredt;Y. Manoli

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本文介绍了一种具有现场数字化和电极偏移电压补偿的高密度cmos神经元探头记录前端。模拟前端(AFE)基于连续时间(CT)两步(TS)增量增量-西格玛(<内联公式;<特数学符号=“LaTeX”>$ext{i}Delta Sigma$</特克斯-数学&>/内联公式>)模数转换器(ADC),具有120 mVpp的输入失调电压补偿。TS量化过程中的硬件共享允许在仅0.0046 mm2的面积内集成前端,从而直接集成在180nmCMOS头柄上的记录电极之下。平均集成噪声低至4.88;内联公式;<纹理数学符号=“LaTeX”>$muext{V}_{ext{rms}}$</内联公式&>,4.46<内联公式&>,4.46<内联公式&>>,$muext{V}_{ext{rms}}$</内嵌-公式&>;,在动作电位(AP,0.3-10 kHz)和局部场势(Lfp,0.5 Hz-1 kHz)的全带宽中,分别为2.51;内嵌公式=“LaTeX”>$MUT EXT{V}_{EXT{rms}}$</内嵌公式。每个记录前端消耗8.57;行内公式符号=“LaTeX”;$MUT EXT{W}$</行数学公式;/行内公式;/行内公式,并且每个通道向外部主机传输数字化数据另外需要6.05;行内公式符号=“LaTeX”&>;$MU EXT{W}$</行内公式&>。
This article presents a recording front end for high-density CMOS neuronal probes with in situ digitization and electrode offset voltage compensation. The analog front end (AFE) is based on a continuous-time (CT) two-step (TS) incremental delta–sigma (<inline-formula> <tex-math notation="LaTeX">$ ext{I}Delta Sigma $ </tex-math></inline-formula>) analog-to-digital converter (ADC) with an extended counting technique and features an input offset voltage compensation of 120 mVpp. Hardware sharing in the TS quantization process allows the integration of the front end in an area of only 0.0046 mm 2 and, thus, directly under the recording electrodes on the shank of a probe in 180-nm CMOS. The average integrated noise is as low as 4.88 <inline-formula> <tex-math notation="LaTeX">$mu ext{V}_{ ext {rms}}$ </tex-math></inline-formula>, 4.46 <inline-formula> <tex-math notation="LaTeX">$mu ext{V}_{ ext {rms}}$ </tex-math></inline-formula>, and 2.51 <inline-formula> <tex-math notation="LaTeX">$mu ext{V}_{ ext {rms}}$ </tex-math></inline-formula> in the full bandwidth of 0 Hz–10 kHz, in the frequency band of action potentials (AP, 0.3–10 kHz) and local field potentials (LFP, 0.5 Hz–1 kHz), respectively. Each recording front end consumes 8.57 <inline-formula> <tex-math notation="LaTeX">$mu ext{W}$ </tex-math></inline-formula>, and transmitting the digitized data to an external host needs additionally 6.05 <inline-formula> <tex-math notation="LaTeX">$mu ext{W}$ </tex-math></inline-formula> per channel.