A Compact Recording Array for Neural Interfaces

被引:0
|
作者
Leene, Lieuwe B. [1 ]
Liu, Yan [1 ]
Constandinou, Timothy G. [1 ]
机构
[1] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London SW7 2BT, England
来源
2013 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS) | 2013年
基金
英国工程与自然科学研究理事会;
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper presents a 44-channel front-end neural interface for recording both Extracellular Action Potentials (EAPs) and Local Field Potentials (LFPs) with 60 dB dynamic range. With a silicon footprint of only 0.015 mm(2) per recording channel this allows an unprecedented order of magnitude area reduction over state-of-the-art implementations in 0.18 mu m CMOS. This highly compact configuration is achievable by introducing an in-channel Sigma Delta assisted Successive Approximation Register (Sigma Delta-SAR) hybrid data converter integrated into the analogue front-end. A pipelined low complexity FIR filter is distributed across 44-channels to resolve a 10-bit PCM output. The proposed system achieves an input referred noise of 6.41 mu V-rms with a 6 kHz bandwidth and sampled at 12.5 kS/s, with a power consumption of 2.6 mu W per channel.
引用
收藏
页码:97 / 100
页数:4
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