Purposes:
Significantly improve img./ reading for medical pattern device. Electroencephalography pattern classification
Develop a model trained on electroencephalography (EEG) signals recorded from critically ill hospital patients.
To improve electroencephalography pattern classification accuracy, unlocking transformative benefits for neurocritical care, epilepsy, and drug development. Advancement in this area may allow doctors and brain researchers to detect seizures or other brain damage to provide faster and more accurate treatments.
