Brain‐Computer Interfaces Using Flexible Electronics: An a‐IGZO Front‐End for Active ECoG Electrodes
Brain-computer interfaces (BCIs) are evolving toward higher electrode count and fully implantable solutions, which require extremely low power densities (<15mW cm<sup>-2</sup>). 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<sup>-2</sup>. 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.
Authors
- Mariana P. Branco (ORCID: https://orcid.org/0000-0002-7316-8846)
- Erik J. Aarnoutse (ORCID: https://orcid.org/0000-0001-7648-250X)
- Martijn J.T.N. Timmermans (ORCID: https://orcid.org/0000-0002-5024-9053)
- Kyle van Oosterhout (ORCID: https://orcid.org/0000-0001-7469-9182)
- Eugenio Cantatore (ORCID: https://orcid.org/0000-0002-9646-7232)
- Nick F. Ramsey (ORCID: https://orcid.org/0000-0002-7136-259X)
- Marco Fattori (ORCID: https://orcid.org/0000-0001-6357-7614)
- Ashley Chilundo
Institutions
- University Medical Center Utrecht (NL)
- Eindhoven University of Technology (NL)
Publication Details
- Journal
- Advanced Science
- Published
- 2024-12-18
- DOI
- https://doi.org/10.1002/advs.202408576
- Citations
- 3
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 1.03
Funders
- Technische Universiteit Eindhoven
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- Universitair Medisch Centrum Utrecht
- Stichting voor de Technische Wetenschappen