Alzheimer's disease is a neurodegenerative disease in old age, early diagnosis will help to
delay the progression of the disease. Presently, the features of brain functional diseases can …

Parallel factor analysis (PARAFAC) is a powerful tool for detecting latent components in
human electroencephalogram (EEG) in the time-space-frequency domain. As an essential …

Nonnegative Tucker decomposition (NTD) is a robust method used for nonnegative
multilinear feature extraction from nonnegative multi-way arrays. The standard version of …

Objective: Removing ocular artefacts due to eye blinks and movement is an essential
preprocessing step in an electroencephalogram (EEG) analysis. Most ocular correction …

Objective. In this paper, we propose a new tensor decomposition to extract event-related
potentials (ERP) by adding a physiologically meaningful constraint to the Tucker …

Non-negative Tucker decomposition is a well-known higher order tensor decomposition
method, where non-negativity is imposed on higher order Tucker decomposition. This paper …

Functional dissociation of brain neural activity induced by opening or closing the eyes has
been well established. However, how the temporal dynamics of the underlying neuronal …

The Tucker model is a tensor decomposition method for multi-way data analysis. However,
its application in the area of multi-channel electroencephalogram (EEG) is rare and often …

The monitoring of mechanical equipment systems contains an increasing number of
complex content, expanding from traditional time, and frequency information to three …

Many brain processes in health and disease are associated with modulation of narrowband
brain oscillations (NBOs) in the scalp-recorded EEG, which exhibit specific frequency …