Motor Task Detection Using Brain Subthalamic Nucleus Local Field Potentials

Current deep brain stimulation (DBS) devices are open-loop, meaning that the stimulation signal parameters are adjusted by a clinician and fixed for each patient until the next visit. A closed-loop DBS system, which requires the ability to detect asynchronous behavior in real time, can optimize the therapy by modulating the parameters based on the patient behavior. This invention introduces an asynchronous behavior detection method that uses subthalamic nucleus (STN) local field potential (LFP) data, able to detect event and non-event timings. CeCe Ging 303-871-4230

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