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神经记录微系统的最新进展。

Recent advances in neural recording microsystems.

机构信息

Electrical and Computer Engineering Department, Université Laval, 1065 avenue de la Médecine, Québec, G1V 0A6, Canada.

出版信息

Sensors (Basel). 2011;11(5):4572-97. doi: 10.3390/s110504572. Epub 2011 Apr 27.

DOI:10.3390/s110504572
PMID:22163863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3231370/
Abstract

The accelerating pace of research in neuroscience has created a considerable demand for neural interfacing microsystems capable of monitoring the activity of large groups of neurons. These emerging tools have revealed a tremendous potential for the advancement of knowledge in brain research and for the development of useful clinical applications. They can extract the relevant control signals directly from the brain enabling individuals with severe disabilities to communicate their intentions to other devices, like computers or various prostheses. Such microsystems are self-contained devices composed of a neural probe attached with an integrated circuit for extracting neural signals from multiple channels, and transferring the data outside the body. The greatest challenge facing development of such emerging devices into viable clinical systems involves addressing their small form factor and low-power consumption constraints, while providing superior resolution. In this paper, we survey the recent progress in the design and the implementation of multi-channel neural recording Microsystems, with particular emphasis on the design of recording and telemetry electronics. An overview of the numerous neural signal modalities is given and the existing microsystem topologies are covered. We present energy-efficient sensory circuits to retrieve weak signals from neural probes and we compare them. We cover data management and smart power scheduling approaches, and we review advances in low-power telemetry. Finally, we conclude by summarizing the remaining challenges and by highlighting the emerging trends in the field.

摘要

神经科学研究的步伐不断加快,对能够监测大量神经元活动的神经接口微系统产生了巨大的需求。这些新兴工具为大脑研究的知识进步和有用的临床应用的发展提供了巨大的潜力。它们可以直接从大脑中提取相关的控制信号,使严重残疾的个体能够将其意图传达给其他设备,如计算机或各种假肢。这些微系统是由一个神经探针和一个集成电路组成的自包含设备,用于从多个通道提取神经信号,并将数据传输到体外。将这些新兴设备开发成可行的临床系统所面临的最大挑战是要解决其小尺寸和低功耗的限制,同时提供更高的分辨率。本文综述了多通道神经记录微系统的设计和实现的最新进展,特别强调了记录和遥测电子学的设计。本文概述了众多的神经信号模式,并介绍了现有的微系统拓扑结构。我们提出了从神经探针中获取弱信号的节能传感器电路,并对它们进行了比较。我们介绍了数据管理和智能电源调度方法,并回顾了低功耗遥测技术的进展。最后,我们总结了该领域存在的挑战和新兴趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/2840d1775bfa/sensors-11-04572f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/70d2fe4f1116/sensors-11-04572f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/41fdb5035d58/sensors-11-04572f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/5d30161e9cc9/sensors-11-04572f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/99947aec3e88/sensors-11-04572f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/c4a933fef9c5/sensors-11-04572f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/2840d1775bfa/sensors-11-04572f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/70d2fe4f1116/sensors-11-04572f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/41fdb5035d58/sensors-11-04572f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/5d30161e9cc9/sensors-11-04572f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/99947aec3e88/sensors-11-04572f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/c4a933fef9c5/sensors-11-04572f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abce/3231370/2840d1775bfa/sensors-11-04572f6.jpg

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