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Electrode Array Optimization System for Deep Brain Stimulation Based on Machine Learning

A machine learning, electrode array technology, applied in the direction of internal electrodes, head electrodes, implanted stimulators, etc., can solve the problems of side effects, complex clinical stimulation parameter adjustment and repeated trials, so as to reduce negative effects and avoid repeated trial and error. time consuming effect

Inactive Publication Date: 2019-03-26
TIANJIN UNIV
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  • Application Information

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Problems solved by technology

[0010] The effect of the present invention is to solve the side effects caused by the symmetrical stimulation of traditional DBS electrodes and the complexity of trial and error in adjusting clinical stimulation parameters

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  • Electrode Array Optimization System for Deep Brain Stimulation Based on Machine Learning
  • Electrode Array Optimization System for Deep Brain Stimulation Based on Machine Learning
  • Electrode Array Optimization System for Deep Brain Stimulation Based on Machine Learning

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Embodiment Construction

[0017] The structure of the machine learning-based deep brain stimulation electrode array optimization system of the present invention is described in conjunction with the accompanying drawings.

[0018] The design concept of the deep brain stimulation electrode optimization system based on machine learning of the present invention is as follows: First, the electrode array is used to replace the cylindrical electrodes, and certain electrodes can be selectively turned on or off to ensure the accuracy of the target points with complex shapes. Optimal stimulation, minimum reduction of stimulation spillover. Aiming at the problem of the stimulating electric field intensity generated by the electrode array at a specific tissue position, the present invention first constructs the electrode array and its three-dimensional nerve tissue conductance model 2, and uses the finite element analysis method to solve it; then combines the obtained specific electric field stimulation with the pu...

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Abstract

The invention provides a deep brain stimulation electrode array optimizing system based on machine learning. A deep brain stimulation electrode array is simulated by ANSYS software, a three-dimensional nervous tissue conductance model is established according to neuroimaging data, and a stimulation electric field intensity of a specific tissue position is analyzed and solved through finite elements; a stimulation electric field and a time-varying pulse sequence act on a mononeuron multi-mesooecium model and a neural network model of a Parkinson's disease focus simulated by NERUON software, and a space range of affected neurons nearby electrodes is found out; and effective features are found out by a machine learning classification algorithm, classified modeling is carried out, and optimization of stimulation configuration is selected according to features of stimulation target spots of a Parkinson's disease. The deep brain stimulation electrode array optimizing system based on machine learning has the beneficial effects that the machine learning classification algorithm is used for classified modeling of physiological signal features, a scheme of optimal stimulation configuration of the deep brain stimulation electrode array is provided, and shortcomings that in traditional clinical application, a repeated testing method consumes long time, and optimal stimulation configuration cannot be obtained are overcome effectively.

Description

technical field [0001] The invention relates to bio-electromagnetic stimulation technology, in particular to a deep brain stimulation electrode array optimization system based on machine learning. Background technique [0002] Parkinson's Disease (PD) is a neurodegenerative disease caused by the degeneration of the central nervous system, which can cause symptoms such as muscle stiffness, tremor, bradykinesia, abnormal posture and gait, and even loss of motor ability. and society have brought a huge burden. Currently, there are three main clinical treatments for PD: drug therapy, surgical lesion, and deep brain stimulation (Deep Brain Stimulation, DBS). With the continuous development of electromagnetic stimulation technology, DBS has largely replaced the original drug therapy and surgical lesion due to its minimal invasiveness, reversibility and controllability, and has become an important brain modulation technology for the treatment of PD. DBS mainly includes three comp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00
CPCA61N1/02A61N1/0534A61N1/3605A61N1/36067
Inventor 王江苏斐刘宇李会艳邓斌刘晨魏熙乐于海涛张镇
Owner TIANJIN UNIV
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