Diogo C. Soriano

TL;DR: A comparative analysis of different signal processing techniques for each BCI system stage concerning steady state visually evoked potentials (SSVEP), which includes feature extraction performed by different spectral methods, leads to a representative and helpful comparative overview of robustness and efficiency of classical strategies.

TL;DR: This paper succinctly describes techniques to counter the effects of finite bandwidth, additive noise and delay in the communication channel to make chaos-based communication systems attain lower levels of BER in non-ideal environments.

TL;DR: The results revealed that the recurrence-based approach for functional connectivity evaluation was significantly better than the other frameworks, which is probably associated with the use of higher order statistics underlying the electrode joint probability estimation and a higher capability of capturing nonlinear inter-relations.

TL;DR: In this paper, the authors proposed a method to calculate the Lyapunov spectrum of dynamical systems based on the time evolution of initially small disturbed copies (clones) of the motion equations.

TL;DR: A machine learning-based classification of 12-lead-ECG allows discrimination between patients with PV drivers vs those with extra-PV drivers of supraventricular arrhythmia, which may aid to identify patients with high acute success rates to Pulmonary vein isolation as discussed by the authors.