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An FFT-based Synchronization Approach to Recognize Human Behaviors using STN-LFP Signal
Classification of human behavior is key to developing closed-loop Deep Brain Stimulation (DBS) systems, which may be able to decrease the power consumption and side effects of the existing systems.
A Multiple Kernel Learning Approach for Human Behavioral Task Classification using STN-LFP Signal
Classification of human behavior is an important step in the design of the next generation of DBS systems that are closed-loop.
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