Second‐order source separation (SOS) is a data analysis tool which can be used for
revealing hidden structures in multivariate time series data or as a tool for dimension …

This paper proposes an automatic method for artefact removal and noise elimination from
scalp electroencephalogram recordings (EEG). The method is based on blind source …

Prognostics and health management (PHM) for condition monitoring systems have been
proposed for predicting faults and estimating the remaining useful life (RUL) of components …

Fusion of information from multiple sets of data in order to extract a set of features that are
most useful and relevant for the given task is inherent to many problems we deal with today …

Amnestic mild cognitive impairment (aMCI) is a syndrome associated with faster memory
decline than normal aging and frequently represents the prodromal phase of Alzheimer's …

Objective: The stereo electroencephalogram (SEEG) recordings are the state-of-the art tool
used in pre-surgical evaluation of drug-unresponsive epileptic patients. Coupled with SEEG …

The electroencephalogram (EEG) signals record electrical activities generated by the brain
cells and are used as a state-of-the-art diagnosis tool for various neural disorders. However …

Blind inversion of a linear and instantaneous mixture of source signals is a problem often
encountered in many signal processing applications. Efficient fastICA (EFICA) offers an …

Measured electroencephalography (EEG) signals can be contaminated with other
electrophysiological signal sources. This contamination decreases accuracy of …

In the past decade, numerous advances in the study of the human brain were fostered by
successful applications of blind source separation (BSS) methods to a wide range of …