Obtainment of Sub Thalamic Nucleus Neuron Key Parameters and Variables base on Unscented Kalman Filter
WANG Haiyang
WANG Jiang
CHEN Yingyuan
Abstract：In order to get some key parameters and key variables,a scheme was brought forward in this paper,which was using UFK(unscented kalman filter)to estimate these key parameters and variables along with neurons membrane potential changing in real time.Taking Sub Thalamic Nucleus (STN)neurons as research objects,this paper accomplish single parameter estimation and multi-ple parameter estimation and estimates of multiple variables were accomplished.All the results showed that using UKF to estimate these key parameters and variables was feasible.The methods in this paper are important significance in neurologic diseases,which can con-trolling neural activity possiblely by applying external electromagnetic field.
Keywords：Deep brain stimulation(DBS)Unscented Kalman filter(UKF)Key parameterParkinsonAdaptive synchronizationState variablesIon channels
Publication Date：2016-01-01
Online Publishing Date：2026-09-11(First online date of this platform, not the publication date of the document)
Pages：6( 250-254,269 )