Compact and Low Power Analog Front End with in-situ Data Decimator for High-Channel-Count ECoG Recording
Compact and Low Power Analog Front End with in-situ Data Decimator for High-Channel-Count ECoG Recording
复制标题
紧凑型低功耗模拟前端,具有用于高通道数 ECoG 记录的原位数据抽取器
DOI:
10.1109/iscas.2018.8351245
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
A. Mason
中科院分区:
文献类型:
--
作者:
E. Ashoori;Sylmarie Dávila;A. Mason
High channel count neural implants that can record brain activities across diverse cortical regions represent the next step toward whole brain interfaces that will enable new understanding of brain operation and treatment of many neural disorders. To overcome the size and power constraints limiting the channel count of existing neural implants, this paper presents a new neural amplifier array design that utilizes hardware sharing to achieve low power and compact size. Moreover, to ease the burden of large volume data handling, in-situ data decimation is performed to enable off body evaluation of synchrony between signal pairs. A 32-channel analog front end array was designed and post-layout simulations show that the entire front end occupies only 0.031 mm2 per channel while consuming only 3.34 μW per channel at 3.3 V in 0.5 μm CMOS. This front end decimates data by an order of magnitude while keeping the synchrony information with more than 89.1% accuracy.