The intra-subject variability (ISV) in brain responses during cognitive processing across
experimental trials has been recognised as an important facet of neural functionality …

There has been tremendous advances in our ability to produce images of human brain
function. Applications of functional brain imaging extend from improving our understanding …

With solid theoretical foundations and numerous potential applications, Blind Signal
Processing (BSP) is one of the hottest emerging areas in Signal Processing. This volume …

People, whether brain intact or brain-damaged, are information processors. They gather
information during interactions with the environment, store it, extend it, transform it, combine …

A method for single-trial dynamical estimation of event-related potentials (ERPs) is
presented. The method is based on recursive Bayesian mean square estimation and the …

Magneto-and electroencephalography (MEG/EEG) and functional magnetic resonance
imaging (fMRI) provide complementary information about the functional organization of the …

In this paper, we propose a clustering linear discriminant analysis algorithm (CLDA) to
accurately decode hand movement directions from a small number of training trials for …

Polisomnography (PSG) is the standard technique used to study the sleep dynamic and to
identify sleep disorders. In order to obtain an integrated knowledge of different corporal …

This paper presents a new proposal of a very low cost and highly efficient interference
canceller to be applied to biomedical signals. The power line reference is obtained from …

Electrical impedance tomography has the potential to provide a portable non-invasive
method for imaging brain function. Clinical data collection has largely been undertaken with …