Resting-state electroencephalogram rTMS curative effect prediction and intervention closed-loop feedback diagnosis and treatment method

Abstract

The invention relates to a resting-state electroencephalogram rTMS curative effect prediction and intervention closed-loop feedback diagnosis and treatment method, multi-source heterogeneous data such as EEG, brain structure and psychological behavior detection data are fused, a curative effect prediction model is introduced, and through EEG collection which is low in price and good in portability, curative effect prediction and classification are conducted on insomnia patients; besides, the treatment effect is evaluated and fed back before treatment and during treatment, so that an operator can conveniently adjust a treatment scheme, and dynamic optimization of the prediction model is also facilitated; meanwhile, individualized scheme making and accurate regulation and control under navigation are carried out on patients insensitive to treatment, and reasonable medical suggestions are made for patients with poor effects after 20 times of accurate treatment; the invention relates to a closed-loop feedback diagnosis and treatment system covering evaluation, classification, treatment, reevaluation and retreatment, which greatly saves social resources and medical cost while reducing the blindness of rTMS treatment, improving the accuracy of rTMS treatment and realizing high efficiency of rTMS intervention, and has important application value.

Description

technical field [0001] The invention relates to the technical field of resting-state electroencephalography rTMS diagnosis and treatment, in particular to a resting-state electroencephalography rTMS curative effect prediction and intervention closed-loop feedback diagnosis and treatment method. Background technique [0002] Transcranial magnetic stimulation technology is based on the principle of electromagnetic induction and electromagnetic conversion. It uses the high-voltage capacitor in the stimulation generator to generate high-voltage current to act on the stimulation coil. The time-varying magnetic field generated in the coil penetrates the skull without attenuation and stimulates the cerebral cortex and peripheral areas. Nerve, a magnetic stimulation technology that changes the action potential of nerve cells, affects the metabolism of transmitters in the brain and the electrical activity of nerves, thereby triggering a series of physiological and biochemical reaction...

AI Technical Summary

Problems solved by technology

However, there are several problems in the clinical practice of rTMS intervention insomnia: first, the choice of stimulation target and stimulation mode is too random and blind, and the treatment effect is random; second, there are significant individual differences in rTMS intervention in patients with chronic insomnia, resulting Uncertainty and unpredictability of treatment effects; 3. At present, in the process of rTMS intervention in insomnia, there is still a lack of an efficient feedback closed-loop diagnosis and treatment system integrating comprehensive evaluation-efficacy prediction-precision intervention, which affects the overall quality of life to a certain extent. Treatment efficiency

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