Evaluation of three machine learning algorithms for the automatic classification of EMG patterns in gait disorders

Consciousness Detection in a Complete Locked-in Syndrome Patient through Multiscale Approach Analysis

Longitudinal Analysis of the Connectivity and Complexity of Complete Locked-in Syndrome Patients Electroencephalographic signal

Coupling BCI and cortical stimulation for brain-state-dependent stimulation: Methods for spectral estimation in the presence of stimulation after-effects

Transient amplitude modulation of alpha-band oscillations by short-time intermittent closed-loop tACS

Application of Sample Entropy to analyze Consciousness in CLIS patients

Motion Detection in Videos of Coherence Matrices in order to detect Consciousness States in CLIS-patients– an Approach

Extendable Hybrid approach to detect consciousness states in a CLIS patient using machine learning

Consciousness Detection in Complete Locked-in State Patients using Electroencephalogram Coherency and Artificial Neural Networks

Neural networks for personalized item rankings

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