Paper Info
Title
SenseBack - An Implantable System for Bidirectional Neural Interfacing
Abstract
Chronic <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-vivo</italic> 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 <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-vivo</italic> studies where the system can adapt to evolving study needs as they arise. In complementary <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">ex-vivo</italic> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">in-vivo</italic> 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.
Year
DOI
Venue
2020
10.1109/TBCAS.2020.3022839
IEEE Transactions on Biomedical Circuits and Systems
Keywords
DocType
Volume
Wireless sensor networks,Wireless communication,Implants,Bluetooth,Field programmable gate arrays,Rodents,Clocks
Journal
14
Issue
ISSN
Citations 
5
1932-4545
0
PageRank 
References 
Authors
0.34
0
7
Name
Order
Citations
PageRank
Ian Williams100.34
Emma Brunton200.34
Adrien Rapeaux300.34
Yan Liu43011.70
Song Luan5114.85
Kianoush Nazarpour67519.08
Timothy G Constandinou710613.73