Semi-automated approaches to optimize deep brain stimulation parameters in Parkinson’s disease

Semi-automated approaches to optimize deep brain stimulation parameters in Parkinson’s disease

Abstract Background Deep brain stimulation (DBS) is a treatment option for Parkinson’s disease patients when medication does not sufficiently manage their symptoms. DBS can be a highly effect therapy, but only after a time-consuming trial-and-error stimulation parameter adjustment process that is su...

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Bibliographic Details
Main Authors: Kenneth H. Louie, Matthew N. Petrucci, Logan L. Grado, Chiahao Lu, Paul J. Tuite, Andrew G. Lamperski, Colum D. MacKinnon, Scott E. Cooper, Theoden I. Netoff
Format: Article
Language:English
Published: BMC 2021-05-01
Series:Journal of NeuroEngineering and Rehabilitation
Subjects:
Bayesian optimization
Deep brain stimulation
Gaussian process
Probit
Parkinson’s disease
Rigidity
Online Access:https://doi.org/10.1186/s12984-021-00873-9

Internet

https://doi.org/10.1186/s12984-021-00873-9

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