A closed-loop neurostimulation control system for Parkinsonian states

Abstract

The present invention provides a closed loop neural stimulation simulation system for a Parkinson state. The method comprises a basal nucleus- thalamus loop, a DAC, an ADC, a non-linear autoregressive Volterra model and a non-linear model prediction controller, which are connected to each other. The system comprises a basal nucleus-thalamus loop that is established by an FPGA, a DAC, an ADC, a non-linear autoregressive Volterra model and a non-linear model prediction controller. The DAC and the ADC are respectively connected to an input end and an output end of the basal nucleus-thalamus loop, and are used for acquiring input and output data of the basal nucleus-thalamus loop. The effects of the system are as follows: a basal nucleus-thalamus loop modeling method driven by physiological data is proposed, so that modeling mismatching and uncertainty that exist in conventional physiological modeling can be effectively dealt with; a non-linear prediction control policy based on the model is capable of automatically and optimally adjusting a clinical state; and an FPGA hardware technology is used as an implementation means, and the characteristics of an FPGA parallel operation, a high operation speed and high calculation precision are fully exerted, and the response speed and control effect of a control system are improved.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to a closed-loop nerve stimulation control system in Parkinson's state. Background technique [0002] Parkinson's Disease (PD) is a degenerative disease of the nervous system. The main clinical manifestations are resting tremor, muscle stiffness, bradykinesia, abnormal posture and gait and other movement disorders, which have seriously affected the lives of patients and their families. . Studies have shown that PD is caused by the loss of dopaminergic neurons in the substantia nigra compacta, which will lead to abnormal synchronous oscillations among the neural nuclei in the basal ganglia (Basal Ganglia, BG) circuit. , TC) nuclei increased inhibitory input, thereby reducing the ability of TC to relay cortical signals in sensorimotor areas. With the development of electromagnetic stimulation technology, Deep Brain Stimulation (DBS) has become an important method for treating adv...

AI Technical Summary

Problems solved by technology

[0009] The research on the closed-loop nerve stimulation system of PD state has achieved satisfactory results, but the design of the existing closed-loop control algorithms is based on specific physiological models or animal experiments, and the universality of the control method is not high; moreover, the BG network is very complex, It is difficult to construct an accurate physiological model for control; most of the existing series use computers for calculation, and compared with FPGA, the calculation rate and operation efficiency are limited

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