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Brain-Computer Interfaces Using Flexible Electronics: An a-IGZO Front-End for Active ECoG Electrodes. | LitMetric

AI Article Synopsis

  • Brain-computer interfaces (BCIs) are advancing towards more integrated and efficient designs requiring low power use (<15mW cm) and higher electrode counts.
  • A new active analog front-end made with amorphous Indium-Gallium-Zinc-Oxide thin-film transistors has been developed, achieving significant noise reduction and low power consumption (46µW or 3.5mW cm) compared to previous flexible solutions.
  • This innovation has proven effective, achieving 94% accuracy in gesture classification, thus paving the way for enhanced BCI systems that can monitor more extensive brain areas while consuming less power.

Article Abstract

Brain-computer interfaces (BCIs) are evolving toward higher electrode count and fully implantable solutions, which require extremely low power densities (<15mW cm). 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. 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.

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Source
http://dx.doi.org/10.1002/advs.202408576DOI Listing

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