Online identification of functional regions in deep brain stimulation based on an unsupervised random forest with feature selection-Reference-Cited by-同舟云学术

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Online identification of functional regions in deep brain stimulation based on an unsupervised random forest with feature selection

Published:2019-10-23 Issue:6 Volume:16 Page:066015
ISSN:1741-2552
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Cao Lei^ORCID,Li Jie,Zhou Yuanyuan,Liu Yunhui,Zhao Yiwen,Liu Hao

Funder

National Natural Science Foundation of China

Self-planned Project from State Key Laboratory of Robotics in China

Open-planned Project from State Key Laboratory of Robotics in China

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://iopscience.iop.org/article/10.1088/1741-2552/ab2eb4/pdf

Reference41 articles.

1. Bilateral deep brain stimulation versus best medical therapy for patients with advanced Parkinson’s disease

2. Subthalamic nucleus versus globus pallidus bilateral deep brain stimulation for advanced Parkinson's disease (NSTAPS study): a randomised controlled trial

3. Computational Neuromodulation : Future Challenges for Deep Brain Stimulation [Life Sciences]

4. Augmented-reality integrated robotics in neurosurgery: are we there yet?

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