Brain-computer interfaces using flexible electronics: an a-IGZO front-end for active ECoG electrodes
Article
van Oosterhout, K., Chilundo, A., Branco, M.P., Aarnoutse, E.J., Timmermans, M., Fattori, M., Ramsey, N.F. and Cantatore, E. 2024. Brain-computer interfaces using flexible electronics: an a-IGZO front-end for active ECoG electrodes. Advanced Science. https://doi.org/10.1002/advs.202408576
Type | Article |
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Title | Brain-computer interfaces using flexible electronics: an a-IGZO front-end for active ECoG electrodes |
Authors | van Oosterhout, K., Chilundo, A., Branco, M.P., Aarnoutse, E.J., Timmermans, M., Fattori, M., Ramsey, N.F. and Cantatore, E. |
Abstract | Brain-computer interfaces (BCIs) are evolving toward higher electrode count and fully implantable solutions, which require extremely low power densities (<15mW cm−2). To achieve this target, and allow for a large and scalable number of channels, flexible electronics can be used as a multiplexing interface. This work introduces an active analog front-end fabricated with amorphous Indium-Gallium-Zinx-Oxide (a-IGZO) Thin-Film Transistors (TFTs) on foil capable of active matrix multiplexing. The circuit achieves only 70nV per sqrt(Hz) input referred noise, consuming 46µW, or 3.5mW cm−2. It demonstrates for the first time in literature a flexible front-end with a noise efficiency factor comparable with Silicon solutions (NEF = 9.8), which is more than 10X lower compared to previously reported flexible front-ends. These results have been achieved using a modified bootstrap-load amplifier. The front end is tested by playing through it recordings obtained from a conventional BCI system. A gesture classification based on the flexible front-end outputs achieves 94% accuracy. Using a flexible active front end can improve the state-of-the-art in high channel count BCI systems by lowering the multiplexer noise and enabling larger areas of the brain to be monitored while reducing power density. Therefore, this work enables a new generation of high channel-count active BCI electrode grids. |
Keywords | a-IGZO; analogue front-end; brain-computer interface |
Sustainable Development Goals | 9 Industry, innovation and infrastructure |
3 Good health and well-being | |
Middlesex University Theme | Health & Wellbeing |
Publisher | Wiley |
Journal | Advanced Science |
ISSN | 2198-3844 |
Publication dates | |
Online | 18 Dec 2024 |
Publication process dates | |
Submitted | 25 Jul 2024 |
Accepted | 2024 |
Deposited | 20 Jan 2025 |
Output status | Published |
Publisher's version | License File Access Level Open |
Copyright Statement | © 2024 The Author(s). Advanced Science published by Wiley-VCH GmbH This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Digital Object Identifier (DOI) | https://doi.org/10.1002/advs.202408576 |
Web of Science identifier | WOS:001380599000001 |
https://repository.mdx.ac.uk/item/1z501z
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