Academic Articles & Research Papers

CEP-MI: a novel cue-execution dual-stage motor imagery paradigm with PGCANet decoding architecture.

CHANGES IN PATTERNS OF SENSORIMOTOR EEG RHYTHMS DURING MOTOR IMAGERY

Aim - the determination of common and individual characteristics in patterns of sensorimotor rhythms of EEG during motor imagery in upper and lower limbs. Materials and methods. 20 right-handed students of Samara State Medical University at...

Differential changes in cervical proprioception and motor imagery following structured imagery training in chronic neck pain.

Deep learning for electroencephalogram (EEG) classification tasks: a review

OBJECTIVE: Electroencephalography (EEG) analysis has been an important tool in neuroscience with applications in neuroscience, neural engineering (e.g. Brain-computer interfaces, BCI's), and even commercial applications. Many of the analyti...

Cauchy non-convex sparse feature selection method for the high-dimensional small-sample problem in motor imagery EEG decoding

IntroductionThe time, frequency, and space information of electroencephalogram (EEG) signals is crucial for motor imagery decoding. However, these temporal-frequency-spatial features are high-dimensional small-sample data, which poses signi...

An Upper-Limb Motor Imagery EEG Dataset of Chronic Stroke Patients.