A review on microelectrode recording selection of features for machine learning in deep brain stimulation surgery for Parkinson’s disease
Abstract
This study seeks to systematically review the selection of features and algorithms for machine learning and automation in deep brain stimulation surgery (DBS) for Parkinson’s disease. This will assist in consolidating current knowledge and accuracy levels to allow greater understanding and research to be performed in automating this process, which could lead to improved clinical outcomes. A systematic literature review search was conducted for...
Paper Details
Title
A review on microelectrode recording selection of features for machine learning in deep brain stimulation surgery for Parkinson’s disease
Published Date
Jan 1, 2019
Journal
Volume
130
Issue
1
Pages
145 - 154
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