Analysis And Control Of Parkinson's Disease Based On Closed-loop Deep Brain Stimulation

Parkinson's disease(PD),a degenerative disease of the nervous system,mostly occurs in the middle-aged and elderly people,the three major clinical manifestations are tremors,stiffness,and movement-related symptoms of bradykinesia.Deep Brain Stimulation(DBS)is usually be used in the treatment of patients with advanced Parkinson's disease,has a significant improvement in sports symptoms.However,due to the open-loop mode in which the currently applied DBS stimulation process is a constant stimulus,it may damage to the target and excessive energy consumption of the system,and the open loop stimulation cannot be performed according to the improvement of symptoms.This article uses the brain model of the Parkinson's disease —cortex-basal nucleus-thalamic network as a control object,combines neuroscience with control theory,optimizes the stimulation waveform,and designs a closed-loop deep brain using the neuron discharge information as a feedback signal.First of all,the cortical-basal nucleus-thalamic network model was established by using the neuron calculation model,combining Rubin-Terman theory and classical Hodgkin-Huxley equations,and thalamus relay accuracy parameters were proposed as evaluation indicators for the improvement of Parkinson's disease symptoms.In order to explore the multiple possibilities of stimulating waveforms in the process of DBS,combined with Pulse Width Modulation(PWM)in motor control,the sinusoidal modulating wave is applied to the ill-conditioned network model in this paper to verify the DBS waveforms.At the same time,the possibilities explored the existence of the minimum energy and the influencing factors during the stimulation.Subsequently,the Unscented Kalman Filter(UKF)method is used to estimate the ion conductance parameter in the neuron model and to use it.It indirectly estimates u that affects the normal discharge of neurons and abnormal oscillations;and uses the HH model of thalamus neurons as a controlled object to design a terminal sliding mode controller to track reference signals of thalamus neurons discharge under normal discharge conditions.Efficient modulation of the abnormal discharge of the diseased network.Closed-loop DBS systems were achieved by two methods,and the results all confirmed the effectiveness of closed-loop DBS in restoring the cortical response of thalamic neurons.Finally,in order to make the theoretical research of this article applicable to the surgery and clinical research of Parkinson's disease in the future,a data collection system based on Labview was designed by using the ADS1299EEG-FE kit produced by TI company through the experimental environment provided by the Department of Physiology,Harbin Medical University.The model STN acquisition system uses the local field potential(LFP)as a biofeedback signal,and simulates LFP that is submerged by stimulated artifacts in the clinical process to filter.Finally,the sliding mode control algorithm is implemented by DSP.