Martín Esparza-Iaizzo

This paper presents a bidirectional neural interface combining graphene technologies for recording and stimulation, showing that recording performance is not compromised during stimulation.

This study evaluates automatic sleep scoring using EEG data from healthy and sleep apnea patients, finding that single-channel scoring is reliable and real-time methods match offline accuracy, though performance drops in clinical populations.

This study investigates whether long-range alpha-synchronisation can serve as a control signal for BCI by analyzing EEG data during a covert attention task, finding it unreliable at the single-trial level.