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一种用于神经传感的高性能Delta-Sigma调制器。

A High Performance Delta-Sigma Modulator for Neurosensing.

作者信息

Xu Jian, Zhao Menglian, Wu Xiaobo, Islam Md Kafiul, Yang Zhi

机构信息

Department of Electrical and Computer Engineering, National University of Singapore, 4 Engineering Drive 3, Singapore 117576, Singapore.

Department of Biomedical Engineering, University of Minnesota Twin Cities, Minneapolis, MN 55455, USA.

出版信息

Sensors (Basel). 2015 Aug 7;15(8):19466-86. doi: 10.3390/s150819466.

Abstract

Recorded neural data are frequently corrupted by large amplitude artifacts that are triggered by a variety of sources, such as subject movements, organ motions, electromagnetic interferences and discharges at the electrode surface. To prevent the system from saturating and the electronics from malfunctioning due to these large artifacts, a wide dynamic range for data acquisition is demanded, which is quite challenging to achieve and would require excessive circuit area and power for implementation. In this paper, we present a high performance Delta-Sigma modulator along with several design techniques and enabling blocks to reduce circuit area and power. The modulator was fabricated in a 0.18-µm CMOS process. Powered by a 1.0-V supply, the chip can achieve an 85-dB peak signal-to-noise-and-distortion ratio (SNDR) and an 87-dB dynamic range when integrated over a 10-kHz bandwidth. The total power consumption of the modulator is 13 µW, which corresponds to a figure-of-merit (FOM) of 45 fJ/conversion step. These competitive circuit specifications make this design a good candidate for building high precision neurosensors.

摘要

记录的神经数据经常受到大幅伪迹的干扰,这些伪迹由多种来源触发,如受试者运动、器官活动、电磁干扰以及电极表面的放电。为防止系统因这些大伪迹而饱和以及电子设备出现故障,需要宽动态范围的数据采集,这在实现上颇具挑战性,并且需要过多的电路面积和功耗。在本文中,我们提出了一种高性能的Delta-Sigma调制器以及几种设计技术和实现模块,以减少电路面积和功耗。该调制器采用0.18-μm CMOS工艺制造。由1.0-V电源供电,该芯片在10-kHz带宽上积分时可实现85-dB的峰值信噪失真比(SNDR)和87-dB的动态范围。调制器的总功耗为13 μW,对应优值(FOM)为45 fJ/转换步。这些具有竞争力的电路规格使该设计成为构建高精度神经传感器的理想选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c7d/4570380/8b0e2e84c7d4/sensors-15-19466-g001.jpg

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