Wearable Sensor-driven and Multi-biomarker Guided Closed-Loop Deep Brain Stimulation System
Abstract
This paper implements the first closed-loop adaptive deep brain stimulation (DBS) system for Parkinson’s patients that updates with multiple input streams from disparate data sources analyzed in real time. Input data streams include the brain's local field potential (LFP) from DBS leads, hand tremors, and heart rate. This approach is designed to be evaluated on 6 patients with Parkinson's disease implanted with the Medtronic Summit™ RC+S systems and has the potential to be more effective in simultaneously controlling multiple symptoms commonly presented in Parkinson’s patients. In the case of the DBS control of both the bradykinesia and tremor, the system demonstrated in this paper has the ability to overcome the challenge of the “breakout tremor” presented in previous studies. The system in-lab testing characterization results indicated that the system could be used to control closed-loop deep brain stimulation systems with a high degree of accuracy and robustness.
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Feng, Guangyu (2023). Wearable Sensor-driven and Multi-biomarker Guided Closed-Loop Deep Brain Stimulation System. Master's thesis, Duke University. Retrieved from https://hdl.handle.net/10161/27881.
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