Although a significant number of studies have been devoted to the investigation of the
electrographic correlates and neurophysiological mechanisms of spoken and inner …

Brain–machine interfaces (BMIs) can be adopted to rehabilitate motor systems for disabled
subjects by sensing cortical neuronal activities and creating new method. In this paper, to …

Electroencephalography (EEG) is a fundamental tool for understanding the brain's electrical
activity related to human motor activities. Brain-Computer Interface (BCI) uses such electrical …

A linear discriminant analysis transformation-based approach to the classification of three
different motor imagery types for brain–computer interfaces was considered. The study …

The study was aimed at develo** a new automatic search technique for specific invariant
patterns of movement-related brain potentials reflected in multidimensional …

An approach to classification of three different imaginary movements based on linear
discriminant analysis transformations and applicable to brain-computer interface …

The neural network-based approach to the classification of implicit emotional components in
ordinary speech is considered. Mel-frequency cepstral coefficients were used as feature …

In the present study, the comparison of approaches to the motor imagery classification on
the example of simulated signals is given. The data were simulated according to …

The study was aimed at develo** a new automatic search technique for specific invariant
patterns associated with the execution of voluntary motor activity (Readiness potentials, RP) …

As atividades motoras do corpo humano, assim como aquelas relacionadas a tomada de
decisões e questões emocionais e psíquicas, podem ser compreendidas por meio da …