ϵ-Neural Thompson Sampling for Adaptive Deep Brain Stimulation in Parkinson's Disease Treatment
Khái niệm cốt lõi
Adaptive deep brain stimulation using ϵ-Neural Thompson Sampling improves treatment efficacy and energy efficiency in Parkinson's disease.
Tóm tắt
Deep Brain Stimulation (DBS) is effective for Parkinson's disease motor symptoms.
Traditional DBS devices have limitations, leading to research on adaptive DBS (aDBS).
Contextual Multi-Armed Bandit (CMAB) approach proposed for aDBS.
ϵ-Neural Thompson Sampling algorithm balances exploration and exploitation effectively.
Evaluation using computational Basal Ganglia Model shows improved performance over existing methods.
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arxiv.org
ε-Neural Thompson Sampling of Deep Brain Stimulation for Parkinson Disease Treatment
Thống kê
RL approaches require significant training data and resources.
CMAB leads to better sample efficiency compared to RL.
ϵ-NeuralTS outperforms existing cDBS methods and baselines.