Brain computer interface P300 signal characteristic somatosensory evoked device and application method therefor

Abstract

The invention discloses a brain computer interface P300 signal characteristic somatosensory evoked device and an application method therefor. The device comprises an upper computer communication unit and at least one lower computer unit; the upper computer communication unit comprises an USB-to-serial port module; the lower computer unit comprises a single-chip microcomputer, a motor driving unit, a motor unit and a low voltage direct current power supply; the motor unit comprises a plurality of direct current oscillation motors serving as a tactile stimulus source; the single-chip microcomputer is connected to the USB-to-serial port module, and an output end of the single-chip microcomputer is connected to each direct current oscillation motor through the motor driving unit respectively; the output end of the low voltage direct current power supply is connected to a wireless communication lower module, the single-chip microcomputer, and the motor driving unit respectively. The application method comprises the following steps of generating a stimulation sequence L through the upper computer, and implementing stimulating state and non-stimulating state control to each direct current oscillation motor by traversing each periodic sequence group trial in the stimulation sequence L. The brain computer interface P300 signal characteristic somatosensory evoked device and the application method therefor have the advantages of being convenient in use, high in correct classifying rate, good in stability and high in universal property.

Description

technical field [0001] The present invention relates to brain-computer interface technology (Brain-ComputerInterface, BCI), in particular to a brain-computer interface P300 signal characteristic somatosensory induction device and its application method, which can be applied to the brain-computer interface technology research somatosensory induction hardware device, experimental paradigm and Software modules for process control and signal processing, especially involving touch-based evoked brain-computer interface system experiments. Background technique [0002] Brain-Computer Interface (BCI) is a new human-computer interaction method that processes and converts the collected EEG signals into control instructions to achieve information transmission. It recognizes people's intentions by detecting and distinguishing the spatiotemporal characteristics of EEG signals in different brain activities. The original intention of the development and design of brain-computer interface ...

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Problems solved by technology

[0006] In general, although the research in the field of brain-computer interface has achieved many theoretical and experimental results that are expected to reach a practical level, due to the limitations of the current input channel selection and paradigm design, especially the input dimension and channel can accept the number of input points Currently, the relatively mature visual and auditory-induced brain-computer interfaces have not really entered the practical stage, so the research and development of key issues such as channel selection and paradigm design that affect the actual practical effect and efficiency are of great significance to the promotion and application of brain-computer interfaces

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