Objective Classification of mTBI Using Machine Learning on a Combination of Frontopolar Electroencephalography Measurements and Self-reported Symptoms

• Auteurs principaux: M. Windy McNerney (Auteur), Thomas Hobday (Auteur), Betsy Cole (Auteur), Rick Ganong (Auteur), Nina Winans (Auteur), Dennis Matthews (Auteur), Jim Hood (Auteur), Stephen Lane (Auteur)
• Format: Livre
• Publié: SpringerOpen, 2019-04-01T00:00:00Z.
• Sujets: article
• Accès en ligne: Connect to this object online.

Abstract Background The reliable diagnosis of a mild traumatic brain injury (mTBI) is a pervasive problem in sports and in the military. The frequency and severity of each occurrence, while difficult to quantify, may impact long term cognitive function and quality of life. Despite the new revelation...