Combination of spatial and temporal de-noising and artifact reduction techniques in multi-channel dry EEG
Recent Publication
Researchers have made groundbreaking progress in improving dry EEG technology in a recent study. In collaboration with Dr Uwe Graichen (Department of Biostatistics and Data Science), they investigated how different techniques for noise reduction and artefact removal can be combined in multi-channel dry EEGs. The team was able to show that the integration of spatial harmonic analysis (SPHARA) and ICA-based methods (fingerprint and ARCI), especially with an improved SPHARA version, significantly increases signal quality. These findings are of great importance as dry EEGs offer a more flexible and convenient way to record brain wave activity in real-life environments.
Komosar, M., Tamburro, G., Graichen, U., Comani, S., & Haueisen, J. (2025). Combination of spatial and temporal de-noising and artifact reduction techniques in multi-channel dry EEG. Frontiers in Neuroscience, 19, 1576954. Article 1576954. https://doi.org/10.3389/fnins.2025.1576954
Dr. Uwe Graichen
Head of
Department of Biostatistics and Data Science