journal article·2025-02Open access

Brain‐Computer Interfaces Using Flexible Electronics: An a‐IGZO Front‐End for Active ECoG Electrodes

Kyle van Oosterhout, Ashley Chilundo, Mariana P. Branco, Erik J. Aarnoutse, Martijn Timmermans, Marco Fattori, Nick F. Ramsey, Eugenio Cantatore

Advanced Science· Volume 12· Issue 6

Abstract

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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: EEG and Brain-Computer Interfaces · Neuroscience and Neural Engineering · Advanced Memory and Neural Computing

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Electrical Engineering Eindhoven University of Technology Eindhoven 5612AP The Netherlands

UMC Utrecht Brain Center Department of Neurology and Neurosurgery University Medical Center Utrecht Utrecht 3584 CX The Netherlands

Funding

Stichting voor de Technische Wetenschappen

References (46)

Show source-provided references
1. 10.1016/S0003-9993(95)80031-X10.1016/S0003-9993(95)80031-X ↗
2. 10.1177/154596831771457710.1177/1545968317714577 ↗
3. 10.1136/bmj.330.7488.40610.1136/bmj.330.7488.406 ↗
4. 10.1109/RBME.2011.217240810.1109/RBME.2011.2172408 ↗
5. 10.1212/01.WNL.0000158616.43002.6D10.1212/01.WNL.0000158616.43002.6D ↗
6. 10.1016/j.clinph.2005.06.02710.1016/j.clinph.2005.06.027 ↗
7. 10.3109/1748296100377747010.3109/17482961003777470 ↗
8. 10.1056/NEJMoa160808510.1056/NEJMoa1608085 ↗
9. 10.1152/jn.00493.201710.1152/jn.00493.2017 ↗
10. 10.1038/nature0497010.1038/nature04970 ↗
11. 10.1038/d41586-023-02546-010.1038/d41586-023-02546-0 ↗
12. 10.1016/j.conb.2018.01.00910.1016/j.conb.2018.01.009 ↗
13. 10.1038/s41586-023-06443-410.1038/s41586-023-06443-4 ↗
14. 10.1186/s13023-015-0304-z10.1186/s13023-015-0304-z ↗
15. 10.1007/978-981-16-1376-0_1110.1007/978-981-16-1376-0_11 ↗
16. Londoño‐Ramírez H. · Adv. Sci. · 2023
17. 10.1109/JSSC.2022.320170410.1109/JSSC.2022.3201704 ↗
18. ISO 14708‐3:2017 ‐ Implants for surgery — Active implantable medical devices — Part 3: Implantable neurostimulators https://www.iso.org/standard/60539.html.
19. 10.1109/TNSRE.2007.90842910.1109/TNSRE.2007.908429 ↗
20. Seese T. M. · Lab. Invest. · 1998 · 78 · 1553
21. 10.1007/s12668-011-0009-210.1007/s12668-011-0009-2 ↗
22. 10.1109/JSSC.2003.81197910.1109/JSSC.2003.811979 ↗
23. 10.1109/JSSC.2006.88656710.1109/JSSC.2006.886567 ↗
24. 10.1109/JSSC.2018.287055510.1109/JSSC.2018.2870555 ↗
25. 10.1177/154596832198933110.1177/1545968321989331 ↗
26. 10.1016/j.neuroimage.2016.12.00410.1016/j.neuroimage.2016.12.004 ↗
27. K.vanOosterhout M.Timmermans M.Fattori E.Cantatore in2024 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE 2024pp.1–5.10.1109/ISCAS58744.2024.10558081 ↗
28. M.Fattori E.Genco inProceedings ‐ IEEE International Symposium on Circuits and Systems volume 2022‐May. Institute of Electrical and Electronics Engineers Inc. 2022pp.86–90.10.1109/ISCAS48785.2022.9937715 ↗
29. 10.1038/s41528-020-0077-x10.1038/s41528-020-0077-x ↗
30. 10.1109/JETCAS.2016.261672310.1109/JETCAS.2016.2616723 ↗
31. 10.1063/1.349019310.1063/1.3490193 ↗
32. 10.1016/0375-9601(69)90076-010.1016/0375-9601(69)90076-0 ↗
33. 10.1109/TED.2011.215591010.1109/TED.2011.2155910 ↗
34. 10.1109/MSSC.2023.325635310.1109/MSSC.2023.3256353 ↗
35. 10.1109/JSSC.2016.259829510.1109/JSSC.2016.2598295 ↗
36. 10.1109/LED.2013.228002410.1109/LED.2013.2280024 ↗
37. 10.1109/JEDS.2018.288425310.1109/JEDS.2018.2884253 ↗
38. R.Shabanpour K.Ishida T.Meister N.Munzenrieder L.Petti G.Salvatore B.Kheradmand‐Boroujeni C.Carta G.Troster F.Ellinger inMidwest Symposium on Circuits and Systems volume 2015‐September. Institute of Electrical and Electronics Engineers Inc. 2015.
39. Genco E. · IEEE J. Solid‐State Circuits · 2023
40. K.Ishida R.Shabanpour B. K.Boroujeni T.Meister C.Carta F.Ellinger L.Petti N. S.Münzenrieder G. A.Salvatore G.Tröster in2014 IEEE Asian Solid‐State Circuits Conference A‐SSCC ‐ Proceedings of Technical Papers. Institute of Electrical and Electronics Engineers Inc. 2015pp.313–316.10.1109/ASSCC.2014.7008923 ↗
41. T. C.Huang K.Fukuda C. M.Lo Y. H.Yeh T.Sekitani T.Someya K. T.Cheng Proceedings ‐Design Automation and Test in Europe DATE2010 pp.154–159.
42. M.Dandekar K.Myny W.Dehaene inESSCIRC 2021 ‐ IEEE 47th European Solid State Circuits Conference Proceedings. Institute of Electrical and Electronics Engineers Inc. 2021pp.407–410.10.1109/ESSCIRC53450.2021.9567794 ↗
43. 10.1109/TED.2020.303157710.1109/TED.2020.3031577 ↗
44. Pragmatic Semiconductor https://www.pragmaticsemi.com/.
45. 10.1109/JSSC.1987.105286910.1109/JSSC.1987.1052869 ↗
46. 10.1109/JSSC.2011.216355210.1109/JSSC.2011.2163552 ↗