Suppr超能文献

用于植入式神经接口微系统中生物电位高效提取与处理的方法。

Approaches for the efficient extraction and processing of biopotentials in implantable neural interfacing microsystems.

作者信息

Gosselin Benoit

机构信息

Dept of Electrical and Computer Eng, Laval University, Quebec City, QC G1V 0A6, Canada.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:5855-9. doi: 10.1109/IEMBS.2011.6091448.

Abstract

The accelerating pace of research in neurosciences and rehabilitation engineering has created a considerable demand for implantable microsystems capable of interfacing with large groups of neurons. Such microsystems must provide multiple recording channels incorporating low-noise amplifiers, filters, data converters, neural signal processing circuitry, power management units and low-power transmitters to extract and wirelessly transfer the relevant neural data outside the body for computing and storage. This paper is reviewing several electronic recording strategies to address the challenge of operating large numbers of channels to gather the neural information from several neurons within very low-power constraints.

摘要

神经科学和康复工程研究步伐的加快,对能够与大量神经元连接的可植入微系统产生了相当大的需求。此类微系统必须提供多个记录通道,包括低噪声放大器、滤波器、数据转换器、神经信号处理电路、电源管理单元和低功率发射器,以提取相关神经数据并将其无线传输到体外进行计算和存储。本文综述了几种电子记录策略,以应对在极低功耗限制下操作大量通道以收集多个神经元神经信息的挑战。

相似文献

6
Recent advances in neural recording microsystems.神经记录微系统的最新进展。
Sensors (Basel). 2011;11(5):4572-97. doi: 10.3390/s110504572. Epub 2011 Apr 27.
10
Ultra-low noise miniaturized neural amplifier with hardware averaging.具有硬件平均功能的超低噪声微型神经放大器。
J Neural Eng. 2015 Aug;12(4):046024. doi: 10.1088/1741-2560/12/4/046024. Epub 2015 Jun 17.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验