Daniel Hölle

This study uses smartphone-based ear-EEG to measure sound processing in everyday life, finding task-dependent auditory event-related potentials and effects of background noise.

This paper provides a protocol for setting up and recording high-quality ear-EEG data using cEEGrids for extended periods in and beyond the lab.

The paper develops Android apps for real-time EEG and audio synchronization to study natural sound-evoked ERPs in real-life settings.

This study uses mobile ear-EEG to examine auditory attention in real-world settings, finding increased P3 amplitude and better performance in a controlled rapid oddball task compared to a sporadic one.