Introduction: Dry electroencephalography (EEG) allows for recording cortical activity in ecological scenarios with a high channel count, but it is often more prone to artifacts as compared to gel-based EEG. Spatial harmonic analysis (SPHARA) and ICA-based methods (Fingerprint and ARCI) have been separately…
Lausanne: Frontiers Research Foundation, 2025-06-27
Evaluations of new dry, high-density EEG caps have only been performed so far with serial measurements and not with simultaneous (parallel) measurements. For a first comparison of gel-based and dry electrode performance in simultaneous high-density EEG measurements, we developed a new EEG cap comprising…
Phase slips arise from state transitions of the coordinated activity of cortical neurons which can be extracted from the EEG data. The phase slip rates (PSRs) were studied from the high-density (256 channel) EEG data, sampled at 16.384 kHz, of five adult subjects during covert visual object naming tasks.…
Lausanne: Frontiers Research Foundation, 2023-06-13
Important requirements for the analysis of multichannel EEG data are efficient techniques for signal enhancement, signal decomposition, feature extraction, and dimensionality reduction. We propose a new approach for spatial harmonic analysis (SPHARA) that extends the classical spatial Fourier analysis…
Lawrence, Kanada / San Francisco, Calif.: PLOS, 2015-04-17
Paul Younan: Kompression von EEG-Daten mittels räumlich harmonischer Zerlegung The present work deals with the compression of the data generated during an investigation electroencephalography (EEG) using spatial harmonic decomposition. In an EEG-recording with large number of electrodes (256 to 512)…
In 2006 Ramon, Freeman, Haueisen und Schimpf made the case that the spatial
structure of the cortex possibly influences the measurable EEG. To prove
this thesis they’ve compared the power spectral density (PSD) of the
spatial course of the cortex with the PSD of the simulated EEG. The thesis
could…