Foundations of Augmented Cognition

Abstract

Abstract. Eye blinks and other ocular artifacts represent a dominant source of EEG signal interference, especially in frontal EEG electrodes. Even though there are several widely accepted methods for the removal eye-blinks, (e.g. linear filtering and ICA), it is still a difficult problem to address when the number of EEG electrodes are limited (as is the case for EEG systems designed for everyday application contexts), and dedicating a subset of these for monitoring eye activity is impractical. In this paper, we propose a novel and general method to eliminate the ocular artifacts based on a combination of filter banks and an eye tracker. This approach offers the promise of making non-intrusive, efficient, and robust ocular artifact detection and correction a tractable prospect.

Animal presence modulates frontal brain activity of patients in a minimally conscious state: A pilot study

“…We used functional near infrared spectroscopy (fNIRS) to measure the influence of animals on brain activity of MCS patients. fNIRS provides an effective measure of neural activity reflecting e.g., mental workload or emotional processing (Hirshfield et al, 2015;Minati et al, 2009;Scheunemann et al, 2019) and has also been used in MCS patients (Kempny et al, 2016). Since we were interested in attention and emotional processing, we measured prefrontal activity.…”