When you imagine someone having an electroencephalogram (EEG) to diagnose a condition such as epilepsy, for example, you probably picture them with a head covered in electrodes. That’s because ...

Therefore, it is expected to play an important role in emotional care and mental disorder detection. EEG signals are most frequently adopted as the physiology measurement in ABCI applications. Eye ...

This study investigates the effects of repetitive transcranial alternating current stimulation (tACS; 1 mA, 5 Hz, 2 min duration) on cognitive function, functional connectivity, and topographic ...

Electroencephalography (EEG) is a widely used technique to measure electrical activity in the brain. This project focuses on classifying EEG data into 7 distinct classes based on preprocessed features ...

The support vector machine (SVM), as a novel type of a learning machine, for the first time, was used to develop a QSPR model that relates the structures of 35 amino acids to their isoelectric point.

This work was partially funded by Taiwan Semiconductor Manufacturing Company under Grant No. 089401, the NIH under Grant No. R21HG010701, the NSF through the University of Illinois Urbana-Champaign ...