Support vector machines using EEG features of cross-frequency coupling can predict treatment outcome in Mecp2-deficient mice

Sinisa Colic, Robert G. Wither, Min Lang, Zhang Liang, James H. Eubanks, Berj L. Bardakjian. Support vector machines using EEG features of cross-frequency coupling can predict treatment outcome in Mecp2-deficient mice. In 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2015, Milan, Italy, August 25-29, 2015. pages 5606-5609, IEEE, 2015. [doi]

Abstract

Abstract is missing.