Self-adaptive rehabilitation training method for training and learning by using neural network

Abstract

The invention discloses a self-adaptive rehabilitation training method for training and learning by using a neural network, and belongs to the field of rehabilitation training. According to the self-adaptive rehabilitation training method for training and learning by using the neural network, through setting training correction of mood, thinking, conscious activities, cognitive functions and somatic symptom correction in a rehabilitation training module, training data can be conveniently counted and uploaded to the inside of a quality assessment module, assessment results are transmitted to acloud data processing module through a wireless transmission device to be processed, real-time monitoring is facilitated under the action of a feedback module, real-time monitoring is facilitated by wearing wearable interactive glasses, rehabilitation training can be performed anytime and anywhere, an emotion perception conversion lamp is mounted and is red when the emotion fluctuation of a user is large and is green in a normal state, the adjuvant therapy user is conveniently reminded in real time to directly observe the emotion fluctuation of the patient, and then measures are taken.

Description

technical field [0001] The invention relates to the field of rehabilitation training, and more specifically relates to an adaptive rehabilitation training method using neural network training and learning. Background technique [0002] The neural network is called the connection model, which is an algorithmic mathematical model that imitates the behavior characteristics of animal neural networks and performs distributed parallel information processing. This kind of network depends on the complexity of the system, and achieves the purpose of processing information by adjusting the interconnection relationship between a large number of internal nodes; [0003] With the rise of living standards, many diseases have occurred one after another. Depression is a typical example. Depression, also known as depressive disorder, is the main type of mood disorder with significant and persistent depression as the main clinical feature. It can be seen clinically that the mood is not comme...

AI Technical Summary

Problems solved by technology

[0004] However, the existing rehabilitation training for depression has poor real-time monitoring ability, and the training effect on patients is low. It is difficult to remind the auxiliary treatment users in real time to directly observe the patient's mood swings, so it is difficult to take action

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