Central-peripheral nervous closed-loop rehabilitation training method and system based on optical brain imaging neurofeedback

Abstract

The invention discloses a central-peripheral nervous closed-loop rehabilitation training method and system based on optical brain imaging neurofeedback; the system comprises an optical brain imaging module, a data processing module, a three-dimensional model reconstruction module, a simulation model building module, a virtual parameter actuator, a virtual feedback module, a simulation analysis module, a central processing unit, and a feedback module; the system is used for providing visual feedback and kinesthetic feedback to a patient under training according to a received training task. Brain rehabilitation training and limb rehabilitation training are integrated herein, a damaged sensorimotor loop in an apoplectic patient is rebuilt, the brain is promoted to experience plastic changes, and motor function rehabilitation is achieved accordingly. All monitoring data can be subjected to simulation analysis optimization according to conditions and needs of different patients, and specificity to a training task is achieved.

Description

technical field [0001] The invention relates to the field of medical systems, in particular to a central-peripheral nerve closed-loop rehabilitation training method and system based on optical brain imaging neurofeedback. Background technique [0002] Studies have shown that 90% of neurological recovery occurs within three months after a stroke. The earlier the rehabilitation intervention, the greater the possibility of functional recovery and the better the prognosis. Therefore, recovery treatment is very important for patients with stroke sequelae. At present, it is generally recommended to use a home-based limb movement rehabilitation instrument to reconstruct the movement of the damaged limbs in the daily home care rehabilitation treatment, so that the muscle groups are stimulated by low-frequency pulse electrical stimulation to simulate normal movement in a certain order. Passive antagonism, coordinates and dominates the functional state of the limbs, and restores the ...

AI Technical Summary

Problems solved by technology

[0005] However, the existing central-peripheral rehabilitation training system has just emerged, and there are still many problems to be solved urgently

For the central-peripheral rehabilitation training system based on EEG, due to the low spatial resolution of EEG technology, it is difficult to accurately locate the training brain area, and the relationship between EEG rhythm components and cognitive function is not yet clear. Poor targeting, leading to great limitations in its application

For the central-peripheral rehabilitation training system based on magnetic resonance imaging or magnetoencephalography, although the shortcomings of the electroencephalogram-based system can be overcome, due to the extremely expensive manufacturing and use costs of magnetic resonance and magnetoencephalography imaging equipment, and the equipment volume It is huge and cannot be easily moved, so it is mainly suitable for laboratory research, and it is impossible to use it for clinical long-term treatment training; at the same time, all training data are directly transmitted, not targeted, and it is easy to cause secondary harm to patients

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