Three-Mode Classification and Study of AR Pole Variations of Imaginary Left and Right Hand Movements

Biomedical Engineering, Trends in Electronics, Communications and Software

“…x and 0 0 P are estimated together with Φ , Q and R by the Expectation-Maximization algorithm as detailed in (Khan & Dutt, 2007;Cassar et al, 2010b). The following comparative analysis will utilize the above algorithms to analyze EEG data from a subject performing imagined left and right-hand movements.…”

Parametric Modelling of EEG Data for the Identification of Mental Tasks

“…However, due to space limitations, the rest of the chapter will review in some detail the authors' own contributions to EEG data analysis covering parameter estimation and its effect on classification results, the relation between model poles and EEG characteristics, and the problem of model order estimation. However, due to space limitations, the rest of the chapter will review in some detail the authors' own contributions to EEG data analysis (Cassar et al, 2010a;Cassar et al, 2010b). These concern the parameter estimation problem and its effect on classification results, the relation between model poles and EEG characteristics, and the problem of model order estimation.…”

“…11 ' 1 tt tt P are estimated together with Φ , Q and R by the Expectation-Maximization algorithm as detailed in (Khan & Dutt, 2007;Cassar et al, 2010b). The following comparative analysis will utilize the above algorithms to analyze EEG data from a subject performing imagined left and right-hand movements.…”

“…The first contribution proposes a novel three-mode classifier which uses the parameters of the AR model as a feature for distinguishing between no hand movement and left-hand or righthand movement (Cassar et al, 2010b). The quality of the classifier depends on the optimal estimation of the AR model parameters.…”