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

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

Using Time Domain and Pearson’s Correlation to Predict Attention Focus in Autistic Spectrum Disorder from EEG P300 Components

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

Stroke Rehabilitation and Parkinson’s Disease Tremor Reduction Using BCIs Combined With FES

Coupling Brain-Computer Interface and Electrical Stimulation for stroke rehabilitation and tremor reduction in Parkinson’s disease

Dr. Sophie Adama

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