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教程:外周神经系统记录分析技术指南。

Tutorial: a guide to techniques for analysing recordings from the peripheral nervous system.

机构信息

KITE, Toronto Rehabilitation Institute - University Health Network, Toronto, ON, M5G 2A2, Canada.

Institute of Biomedical Engineering, University of Toronto, Toronto, ON M5S 3G4, Canada.

出版信息

J Neural Eng. 2022 Jul 19;19(4). doi: 10.1088/1741-2552/ac7d74.

DOI:10.1088/1741-2552/ac7d74
PMID:35772397
Abstract

The nervous system, through a combination of conscious and automatic processes, enables the regulation of the body and its interactions with the environment. The peripheral nervous system is an excellent target for technologies that seek to modulate, restore or enhance these abilities as it carries sensory and motor information that most directly relates to a target organ or function. However, many applications require a combination of both an effective peripheral nerve interface (PNI) and effective signal processing techniques to provide selective and stable recordings. While there are many reviews on the design of PNIs, reviews of data analysis techniques and translational considerations are limited. Thus, this tutorial aims to support new and existing researchers in the understanding of the general guiding principles, and introduces a taxonomy for electrode configurations, techniques and translational models to consider.

摘要

神经系统通过有意识和自动过程的结合,实现对身体的调节及其与环境的相互作用。外周神经系统是寻求调节、恢复或增强这些能力的技术的极佳目标,因为它携带的感觉和运动信息与目标器官或功能最直接相关。然而,许多应用需要有效的外周神经接口 (PNI) 和有效的信号处理技术的结合,以提供选择性和稳定的记录。虽然有很多关于 PNI 设计的评论,但数据分析技术和转化考虑的评论是有限的。因此,本教程旨在支持新的和现有的研究人员理解一般指导原则,并介绍用于考虑的电极配置、技术和转化模型的分类法。

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