STN localization using local field potentials based on wavelet packet features and stacking ensemble learning-Reference-Cited by-同舟云学术

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STN localization using local field potentials based on wavelet packet features and stacking ensemble learning

Published:2024-07 Issue: Volume:407 Page:110156
ISSN:0165-0270
Container-title:Journal of Neuroscience Methods
language:en
Short-container-title:Journal of Neuroscience Methods

Author:

Hosny Mohamed^ORCID,Zhu Minwei,Gao Wenpeng,Elshenhab Ahmed M.

Publisher

Elsevier BV

Reference49 articles.

1. Clinical neurophysiological interrogation of motor slowing: A critical step towards tuning adaptive deep brain stimulation;Alva;Clin. Neurophysiol.,2023

2. Spectral topography of the subthalamic nucleus to inform next-generation deep brain stimulation;Averna;Mov. Disorders,2023

3. Efficient suppression of parkinsonian beta oscillations in a closed-loop model of deep brain stimulation with amplitude modulation;Bahadori-Jahromi;Front. Hum. Neurosci.,2023

4. Optimization of the KNN supervised classification algorithm as a support tool for the implantation of deep brain stimulators in patients with Parkinson’s disease;Bellino;Entropy,2019

5. Thalamic local field potentials recorded using the deep brain stimulation pulse generator;Buijink;Clin. Neurophysiol. Pract.,2022

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