Mechanical arm control online brain-computer interface system and implementation method

Abstract

The invention relates to direct communication between brain thinking and external environment. The invention provides a BCI (Brain Computer Interface) system for fine motion mechanical arm on-line control based on mixed characteristics, accurate fine motion recognition can be realized, specific brain region training is facilitated for patients with motion function impairment, and the system is expected to develop thinking and lay a technical foundation for BCI technology development of stroke rehabilitation treatment. Meanwhile, multi-instruction output is met. Therefore, the technical schemeadopted by the invention is as follows: a mechanical arm controls on-line brain-to-brain control; According to the machine interface implementation method, three kinds of actions including a thumb, anindex finger and a little finger are designed for different fingers of a right hand; Electrical stimulation induced SSSEP features are given to the thumb and the little finger, the recognition performance is improved, then decision values are output through the spatial filtering, feature extraction and mode recognition processes, and finally corresponding instructions are sent through a Bluetoothdevice to control a mechanical arm to complete designated actions. The method is mainly applied to medical instrument designing and manufacturing occasions.

Description

technical field [0001] The present invention relates to the direct communication between the brain thinking and the external environment, relates to the brain-computer interface technology, specifically, relates to the fine mechanical arm control online brain-computer interface system. Background technique [0002] The brain-computer interface (BCI) system is a communication system that does not depend on the neural pathways and muscles of the body. The original intention of the development of BCI technology is to serve those patients whose peripheral motor system is damaged but their brains are intact, replace their failed information communication pathways, and improve their quality of life. However, in recent years, researchers have begun to apply BCI technology to patients with brain damage. It not only completes the output of thinking commands, but also induces neuroplastic changes, rebuilds damaged information pathways, and achieves the therapeutic effect of neurorehab...

AI Technical Summary

Problems solved by technology

However, although these two combination methods have improved the overall performance of BCI, they are not helpful for the recognition of motor imagery. At the same time, the sequential method increases the link of instruction generation, which may reduce the decoding speed, while the synchronous method needs to be replaced. Try to consume additional attention resources, on the one hand weaken the characteristics of EEG signals, on the other hand increase the complexity of the user's operation and affect the user experience

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