Cargando…
Adaptive Parameter Modulation of Deep Brain Stimulation Based on Improved Supervisory Algorithm
Clinically deployed deep brain stimulation (DBS) for the treatment of Parkinson’s disease operates in an open loop with fixed stimulation parameters, and this may result in high energy consumption and suboptimal therapy. The objective of this manuscript is to establish, through simulation in a compu...
Autores principales: | Zhu, Yulin, Wang, Jiang, Li, Huiyan, Liu, Chen, Grill, Warren M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8481598/ https://www.ncbi.nlm.nih.gov/pubmed/34602976 http://dx.doi.org/10.3389/fnins.2021.750806 |
Ejemplares similares
-
Biomarkers and Stimulation Algorithms for Adaptive Brain Stimulation
por: Hoang, Kimberly B., et al.
Publicado: (2017) -
Model-Based Evaluation of Closed-Loop Deep Brain Stimulation Controller to Adapt to Dynamic Changes in Reference Signal
por: Su, Fei, et al.
Publicado: (2019) -
Kilohertz Frequency Deep Brain Stimulation Is Ineffective at Regularizing the Firing of Model Thalamic Neurons
por: Couto, João, et al.
Publicado: (2016) -
Supervisory Algorithm for Autonomous Hemodynamic Management Systems
por: Snider, Eric J., et al.
Publicado: (2022) -
Temporally optimized patterned stimulation (TOPS®) as a therapy to personalize deep brain stimulation treatment of Parkinson’s disease
por: Okun, Michael S., et al.
Publicado: (2022)