Towards a distributed, chronically-implantable neural interface
Author(s)
Type
Conference Paper
Abstract
We present a platform technology encompassing a family of innovations that together aim to tackle key challenges with existing implantable brain machine interfaces. The ENGINI (Empowering Next Generation Implantable Neural Interfaces) platform utilizes a 3-tier network (external processor, cranial transponder, intracortical probes) to inductively couple power to, and communicate data from, a distributed array of freely-floating mm-scale probes. Novel features integrated into each probe include: (1) an array of niobium microwires for observing local field potentials (LFPs) along the cortical column; (2) ultra-low power instrumentation for signal acquisition and data reduction; (3) an autonomous, self-calibrating wireless transceiver for receiving power and transmitting data; and (4) a hermetically-sealed micropackage suitable for chronic use. We are additionally engineering a surgical tool, to facilitate manual and robot-assisted insertion, within a streamlined neurosurgical workflow. Ongoing work is focused on system integration and preclinical testing.
Date Issued
2019-05-20
Date Acceptance
2019-03-20
Citation
2019 9th international IEEE/EMBS conference on neural engineering (NER), 2019, pp.719-724
ISBN
9781538679210
ISSN
1948-3546
Publisher
IEEE
Start Page
719
End Page
724
Journal / Book Title
2019 9th international IEEE/EMBS conference on neural engineering (NER)
Copyright Statement
© 2019, IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
License URL
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000469933200175&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
EP/M020975/1
Source
9th IEEE/EMBS International Conference on Neural Engineering (NER)
Subjects
Science & Technology
Technology
Life Sciences & Biomedicine
Engineering, Biomedical
Neurosciences
Engineering
Neurosciences & Neurology
Publication Status
Published
Start Date
2019-03-20
Finish Date
2019-03-23
Coverage Spatial
San Francisco, CA, United States
Date Publish Online
2019-05-20