Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors

RT @WB_BARR: Results here show that it is possible to classify concussion using raw, resting state data from a small number of EEG sensors…

Results here show that it is possible to classify concussion using raw, resting state data from a small number of EEG sensors in an adolescent sample. https://t.co/x3p4HzZUbq

Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencephalography Signals: Toward a Minimal Number of Sensors https://t.co/AcRzNJixy8

RT @FrontNeurosci: New Research: Deep Learning Recurrent Neural Network for Concussion Classification in Adolescents Using Raw Electroencep…