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Lookup NU author(s): Dr Emma Brunton,
Dr Yan Liu,
Professor Kianoush Nazarpour
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2020 IEEE.Chronic in-vivo neurophysiology experiments require highly miniaturized, remotely powered multi-channel neural interfaces which are currently lacking in power or flexibility post implantation. In this article, to resolve this problem we present the SenseBack system, a post-implantation reprogrammable wireless 32-channel bidirectional neural interfacing that can enable chronic peripheral electrophysiology experiments in freely behaving small animals. The large number of channels for a peripheral neural interface, coupled with fully implantable hardware and complete software flexibility enable complex in-vivo studies where the system can adapt to evolving study needs as they arise. In complementary ex-vivo and in-vivo preparations, we demonstrate that this system can record neural signals and perform high-voltage, bipolar stimulation on any channel. In addition, we demonstrate transcutaneous power delivery and Bluetooth 5 data communication with a PC. The SenseBack system is capable of stimulation on any channel with ±20 V of compliance and up to 315 μA of current, and highly configurable recording with per-channel adjustable gain and filtering with 8 sets of 10-bit ADCs to sample data at 20 kHz for each channel. To the best of our knowledge this is the first such implantable research platform offering this level of performance and flexibility post-implantation (including complete reprogramming even after encapsulation) for small animal electrophysiology. Here we present initial acute trials, demonstrations and progress towards a system that we expect to enable a wide range of electrophysiology experiments in freely behaving animals.
Author(s): Williams I, Brunton E, Rapeaux A, Liu Y, Luan S, Nazarpour K, Constandinou TG
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Biomedical Circuits and Systems
Print publication date: 05/10/2020
Online publication date: 10/09/2020
Acceptance date: 03/09/2020
Date deposited: 30/11/2020
ISSN (print): 1932-4545
ISSN (electronic): 1940-9990
Publisher: Institute of Electrical and Electronics Engineers Inc.
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