An FPGA experimental platform for deep brain stimulation of the basal ganglia-thalamus network in Parkinson's disease

Abstract

The invention provides a deep brain stimulation FPGA experimental platform of a basal ganglia and thalamencephalon network for the parkinson's disease. The experimental platform comprises an FPGA development board and an upper computer, which are connected with each other; the FPGA development board is used for realizing a basal ganglia and thalamencephalonneuron network model and a deep brain stimulation controller; the upper computer is used for designing an upper computer software interface and being communicated with the FPGA development board. The experimental platform has the benefits that as an animal-free experiment means of a biological neural network, and on the basis of the high-speed computation FPGA neuron network, the experimental platform realizes the modeling of the neuron network of a complex parkinson's disease focus area, and the neuron network model can be consistent with real biological neuron on a time scale. The platform provides a visual research platform, closer to the real neuron network, for researching the discharging mechanism of the parkinson's disease and the abnormal discharging mode of the basal ganglia and thalamencephalonneuron network controlled by deep brain stimulation, and has a significant practical value in researching the treatment of the parkinson's disease.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to a deep brain stimulation FPGA experiment platform of Parkinson's disease basal ganglia-thalamus network. Background technique [0002] Parkinson's disease is a degenerative neurological disease caused by the degeneration of central nervous system function, which can cause muscle stiffness, tremor, slow movement and even loss of motor ability in patients. Parkinson's state is mainly derived from the inability of thalamic neurons in the basal ganglia-thalamo-cortical circuit to accurately relay the excitatory information of the cerebral cortex. The establishment of basal ganglia-thalamus (BG-TC) neuron network is helpful for the analysis and control of Parkinson's state. Studies have found that the basal ganglia region in the human brain mainly includes three parts: the subthalamic nucleus (STN), the outer globus pallidus (GPe) and the inner globus pallidus (Globus Pallidus, GP...

AI Technical Summary

Problems solved by technology

[0005] The existing technology is still in the basic stage, so there are still the following disadvantages: the structure of the neural network model of hardware simulation realized by FPGA is relatively simple, and the realization of complex network is still a difficult point, so the practical application value is low; the man-machine interface has not yet been perfected , so it is difficult to analyze the operation of the FPGA hardware neural network

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