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Tutorial: a guide to techniques for analysing recordings from the peripheral nervous system
Author(s) -
Ryan G. L. Koh,
José Zariffa,
Leen Jabban,
ShihCheng Yen,
Nick Donaldson,
Benjamin Metcalfe
Publication year - 2022
Publication title -
journal of neural engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.594
H-Index - 111
eISSN - 1741-2560
pISSN - 1741-2552
DOI - 10.1088/1741-2552/ac7d74
Subject(s) - computer science , peripheral nervous system , human–computer interaction , peripheral nerve , interface (matter) , brain–computer interface , sensory system , function (biology) , neuroscience , central nervous system , medicine , electroencephalography , biology , bubble , maximum bubble pressure method , evolutionary biology , parallel computing , anatomy
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.

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