DONUT (European Doctoral Network for Neural Prostheses and Brain Research) is a Marie Skłodowska‑Curie Doctoral Network that brings together 15 academic and industrial partners across Europe to train a new generation of researchers in brain–computer interfaces (BCIs) and advanced neurotechnology. The project focuses on EEG‑based sensing, neural signal processing, and translational applications ranging from neurorehabilitation and assistive technologies to early disease detection and everyday BCI use. Through interdisciplinary research, international secondments, and strong industry engagement, DONUT aims to advance state‑of‑the‑art neuroengineering while fostering independent, creative, and impact‑driven scientists.
Our contribution focuses on the design and implementation of an application‑specific integrated circuit (ASIC) for measuring electrode-skin impedance of dry‑contact electrodes during EEG recordings. Continuous impedance measurements could inform noise‑reduction methods in both the analog and digital domain to increase signal quality and inform continious adjustments of the analog circuitry. The impedance measurements could also be used as a modality in multimodal data analysis. The developed ASIC will be integrated on an extension board for the Hyperscanner platform to allow physiological validation and multi-modal recordings.
Read more about the network here: DONUT – EU Marie-Curie DN (donut-project.eu)
Funding: The European Union’s research and innovation programme under the Marie Skłodowska-Curie grant agreement No 101118964.
