Assessing consciousness in patients with disorders of consciousness using soft-clustering

Application of Soft-Clustering to Assess Consciousness in a CLIS Patient

Evolving Hardware by Direct Bitstream Manipulation of a Modern FPGA

CoBEA: Framework for Evolving Hardware by Direct Manipulation of FPGA Bitstreams

Yes/No Classification of EEG data from CLIS patients

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

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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