September 15, 2015, by tvu
Brain imaging and machine learning to diagnose mild traumatic brain injury
“In this work, we are developing novel diagnostic methods for mild traumatic brain injury (concussion) using brain imaging (e.g., electroencephalography) and machine learning (e.g., support vector machines) techniques to supplement and enhance traditional approaches”, Dr. Jason Satel of School of Psychology explained, the outcomes have been published on relevant international journals.
Sculthorpe-Petley, L., Liu, C., Hajra, S. G., Parvar, H., Satel, J., Trappenberg, T. P., Boshra, R., and D’Arcy, R. C. N. (April, 2015). A rapid event-related potential (ERP) method for point-of-care evaluation of brain function: Development of the Halifax Consciousness Scanner. Journal of Neuroscience Methods, 245: 64-72 (doi: 10.1016/j.jneumeth.2015.02.008)
Parvar, H., Sculthorpe-Petley, L., Satel, J., Boshra, R., D’Arcy, R. C. N., and Trappenberg, T. P. (March, 2015). Detection of event-related potentials in individual subjects using support vector machines. Brain Informatics, 2(1): 1-12 (doi: 10.1007/s40708-014-0006-7)
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