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Hyper-parameter tuning and feature extraction for asynchronous action detection from sub-thalamic nucleus local field

Thomas Martineau1, Shenghong He2,3, Ravi Vaidyanathan1,4

  • 1Biomechatronics Group, Department of Mechanical Engineering, Imperial College London, London, United Kingdom.

Frontiers in Human Neuroscience
|June 9, 2023
PubMed
Summary

This study introduces Bayesian optimization to improve brain state decoding for brain-computer interfaces (BCI) and adaptive deep brain stimulation (DBS). The method optimizes hyper-parameters, enhancing decoding performance for neurodegenerative disorders.

Keywords:
Bayesian optimization (BO)brain-computer interface (BCI)deep brain stimulation (DBS)local field potentials (LFPs)time-frequency analysis

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