Epilepsy state closed-loop control experiment platform based on FPGA

Abstract

The invention provides an epilepsy state closed-loop control experiment platform based on an FPGA. The FPGA serves as a lower computer of the experiment platform, and discharging waveform observation and parameter setting are carried out with the help of an upper computer interface compiled through VB. An epilepsy nerve cluster mathematic model is achieved through the FPGA, discharge mode control of an epilepsy nerve cluster network is achieved by means of closed-loop feedback control, and an upper computer is used for conducting parameter adjustment and discharging waveform observation. The method has the advantages that modeling for a complicated epilepsy neuron network is achieved through the experiment platform serving as non-animal experimenting of a biological neural network and based on the high-speed calculation FPGA neuron network, and the time scale is consistent with that of real biological neurons. The visualization research platform more close to a real neural network is provided for researching a discharge mechanism of neuron clusters of the epileptic disease, epilepsy nerve cluster network closed-loop control under the action of an electric field and the like, and has great practical value for epileptic disease treatment research.

Description

technical field [0001] The invention relates to biomedical engineering technology, in particular to an FPGA experimental platform for closed-loop control of epilepsy based on a neural cluster model. Background technique [0002] Epilepsy is a neurological disease caused by temporary central nervous system dysfunction due to abnormal synchronous excessive discharge of brain cells. So far, there is no thorough and effective treatment. This motivates us to explore new treatments for epilepsy. A large number of studies have shown that seizure transmission originates from or passes through the hippocampus, which is an important region for the generation and seizure of neurological diseases. Because electrical stimulation has the characteristics of flexibility, reversibility and less invasion compared with clinical surgery for epilepsy, it has become an important method to eliminate epileptic seizures. Researchers use different electric field stimulation experiments to weaken or...

AI Technical Summary

Problems solved by technology

[0007] The existing technology is still in the basic stage, so there are still the following shortcomings: there is no special epilepsy control experiment platform based on FPGA with complete functions; the hardware simulation neuron network model using FPGA is relatively simple in structure and low in accuracy; It is not yet perfect, and it is impossible to perform real-time control operations and data analysis, so it is difficult to analyze the operation of the FPGA hardware neuron network

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