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

, , , , and . ICASSP, page 979-983. IEEE, (2017)

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Suppression of neurostimulation artifacts and adaptive clustering of Parkinson's patients behavioral tasks using EEG., , , , and . ACSSC, page 851-855. IEEE, (2016)Single trial behavioral task classification using subthalamic nucleus local field potential signals., , , , and . EMBC, page 3793-3796. IEEE, (2014)A Multiple Kernel Learning approach for human behavioral task classification using STN-LFP signal., , , , and . EMBC, page 1030-1033. IEEE, (2016)Time-frequency analysis of brain electrical Signals for behvior recognition in patients with Parkinson's disease., , , and . ACSSC, page 1843-1847. IEEE, (2013)An FFT-based synchronization approach to recognize human behaviors using STN-LFP signal., , , , and . ICASSP, page 979-983. IEEE, (2017)Adaptive learning of behavioral tasks for patients with Parkinson's disease using signals from deep brain stimulation., , , , , , , and . ACSSC, page 208-212. IEEE, (2014)Motor task event detection using Subthalamic Nucleus Local Field Potentials., , , , and . EMBC, page 5553-5556. IEEE, (2015)Studying the Effects of Deep Brain Stimulation and Medication on the Dynamics of STN-LFP Signals for Human Behavior Analysis., , , and . EMBC, page 4720-4723. IEEE, (2018)Human Motor Cortical Activity Is Selectively Phase-Entrained on Underlying Rhythms., , , , , , , and . PLoS Comput. Biol., (2012)A new approach for automated detection of behavioral task onset for patients with Parkinson's disease using subthalamic nucleus local field potentials., , , , and . ACSSC, page 780-784. IEEE, (2015)