An FFT-based synchronization approach to recognize human behaviors using STN-LFP signal

Hosein M. Golshan, Adam O. Hebb, Sara J. Hanrahan, Joshua Nedrud, Mohammad H. Mahoor. An FFT-based synchronization approach to recognize human behaviors using STN-LFP signal. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, New Orleans, LA, USA, March 5-9, 2017. pages 979-983, IEEE, 2017. [doi]

Abstract

Abstract is missing.