Brain stimulation system and method based on artificial intelligence, equipment and storage medium

Abstract

The embodiments of the invention disclose a brain stimulation system and method based on artificial intelligence, equipment and a storage medium. The system comprises a plurality of brain stimulationterminals and a cloud platform; the cloud platform is used for adopting an artificial intelligence technology to generate multidirectional psychological big data by learning physiological data and psychological state evaluation parameters from the multiple brain stimulation terminals and combining a preset diagnosis treatment model for various diseases; and the brain stimulation terminals are usedfor adopting the artificial intelligence technology to analyze the collected physiological data and psychological state evaluation parameters of a target object based on the multidirectional psychological big data, the mental state of the target object is determined, brain stimulation parameters required for the target object are obtained according to the mental state, and corresponding noninvasive bran stimulation is generated to the target object according to the brain stimulation parameters. The brain stimulation system and method based on the artificial intelligence, the equipment and thestorage medium are suitable for maintaining mental health of ordinary people and regulating unhealthy emotions of ordinary people and at least have the effects of early prediction, professional prevention and timely interference on certain serious mental diseases.

Description

technical field [0001] Embodiments of the present invention relate to medical equipment and smart product technologies, and in particular to an artificial intelligence-based brain stimulation system, method, device, and storage medium. Background technique [0002] Psychological research shows that most people will encounter different degrees of mental disorders or mental illnesses at different stages of their lives. Especially in the modern era of information explosion, people are faced with various pressures from work and life, and often feel nervous, anxious and depressed. Many people are in a sub-health state of physical and mental exhaustion, which leads to an increase in factors that endanger mental health. In recent years, the probability of suffering from severe mental illnesses such as depression, autism, and schizophrenia in society is on the rise. In addition, with the aging trend of the global population, neurodegenerative diseases, including Alzheimer's diseas...

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned technical products all have shortcomings, which limit their better use

In terms of minimally invasive brain stimulation technology, tDCS has limited temporal and spatial resolution in brain regions due to the diffusion effect of the electric field; although DBS has some good curative effects, it also has shortcomings, such as its unpredictability to a certain extent, and even Produce side effects, because the stimulation lacks selectivity and specificity, and in many cases the therapeutic mechanism is not yet clear; although optogenetic stimulation has been proved to have the obvious advantages of neuron specificity and selectivity in animal experiments, its stimulation Long-term implantation of the device in the brain will cause immune rejection and inflammatory reactions like DBS, and gradually weaken the stimulation effect; rTMS is because the magnetic field strength decays rapidly with the increase of distance, so the induced current can basically only act on the brain. On the cerebral cortex; although ultrasonic stimulation technology is almost non-invasive and can theoretically penetrate deep into the brain, the accuracy and strength of the technology to stimulate the brain nuclei need to be further improved [Landhuis E, Nature 2017]

On the other hand, the promotion and application of artificial intelligence technology in the medical and health field is basically still in an immature stage of development. At present, such products only provide assistance in medical diagnosis, without further intervention or treatment measures; the Woebot chat robot as a typical representative to treat mental illness through human-machine social interaction has won the support of many netizens, but this comparison A single cognitive-behavioral therapy has relatively general effects on more serious psychological and mental illnesses; social robots represented by the social robot KASPAR developed by the University of Hertfordshire in the United Kingdom have certain effects on the rehabilitation training and treatment of autistic children, but currently The products are relatively simple in terms of intelligent design and function development, and need to further combine cutting-edge artificial intelligence technology to improve the effect of rehabilitation treatment

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