A Cognitive Rehabilitation Training System Based on Neural Network Algorithm

Abstract

The present invention proposes a cognitive rehabilitation training system based on a neural network algorithm, including a rehabilitation training layer, a data collection layer, a data grouping layer, a neural network layer and a cognitive feedback layer; the data collection layer will collect limb movement parameters and posture patterns The parameters are sent to the data grouping layer; the data grouping layer includes a data preprocessing component and a data grouping component; the data preprocessing component performs preprocessing on the limb movement parameters and posture mode parameters; the data is grouped and stored after the data grouping component preprocesses; the neural network layer Including an input layer and an output layer; the number of nodes in the input layer is the same as the number of grouping groups obtained by the data grouping component; the output layer is connected to the cognitive feedback layer, based on the feedback of the cognitive feedback layer, in The rehabilitation training feedback results are displayed on the human-computer interaction interface. The present invention realizes the whole-process closed-loop feedback adjustment of cognitive rehabilitation training based on a dynamic neural network model.

Description

Technical field [0001] The present invention belongs to the field of rehabilitation training, in particular to a cognitive rehabilitation training system based on neural network algorithms. Background [0002] The process of adapting and habituating the patient to the lost body function is rehabilitation training. The most common symptoms of stroke are sudden weakness, sudden fainting, and unconsciousness on one side of the face, arm, or leg, and other symptoms include sudden numbness on one side of the face, arm, or leg, or sudden skewed mouth and eyes, and half-body failure; Confusion, difficulty speaking or understanding; Difficulty seeing in one or both eyes; Difficulty walking, dizziness, loss of balance or coordination; Severe headache without cause; Fainting, etc. For stroke patients, rehabilitation goals include: [0003] 1. Restore function. It refers to the fact that if a stroke patient has functional impairment, such as movement disorders, swallowing disorders, speech ...

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Problems solved by technology

[0008] However, the current rehabilitation models are all static, and can only guide patients to perform repeated and mechanical training according to a predetermined pattern, and the patients themselves cannot get self-feedback; in addition, the training process cannot perform adaptive dynamic adjustments according to actual exercise parameters, making The continuity and rationality of the exercise is doubtful; and, after multiple cycles of exercise, the patient cannot perceive the next adjustment action, and the compliance will be greatly reduced, which affects the effect of cognitive rehabilitation

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