Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks

R Zink, B Hunyadi, S Van Huffel… - Journal of neural …, 2016 - iopscience.iop.org
Objective. In the past few years there has been a growing interest in studying brain
functioning in natural, real-life situations. Mobile EEG allows to study the brain in real …

Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase

R Zink, B Hunyadi, S Van Huffel… - Journal of neural …, 2016 - iopscience.iop.org
Objective. One of the major drawbacks in EEG brain–computer interfaces (BCI) is the need
for subject-specific training of the classifier. By removing the need for a supervised …

[PDF][PDF] The power of tensor decompositions in biomedical applications

B Hunyadi, S Van Huffel, M De Vos - 2016 - lirias.kuleuven.be
Appropriately representating data is crucial for gaining insight and effectively approaching
any given problem at hand. We will illustrate in this chapter the use of a particular …

[引用][C] SPECTRAL-TEMPORAL MODALITY BASED EEG SLEEP STAGING

M McCurry - 2017 - Georgia Institute of Technology