A brain-computer interface method based on sequential compound limb imaginary actions
A machine interface and limb technology, applied in the field of brain-computer interface, can solve the problems of inability to meet multi-instruction output, few optional categories, affecting the flexibility of brain-computer interface, etc., to achieve multi-instruction output, reduce feature dimension, The effect of high accuracy
Active Publication Date: 2017-08-25
TIANJIN UNIV
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However, simple limb imagery mainly involves three kinds of limb movements: left hand, right hand, single or double feet (because the two feet are located close to the cortical motor area), and there are few optional categories, which cannot meet the multi-command output, which will seriously affect The Flexibility of External Control of Brain-Computer Interface (BCI) System
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[0023] In order to make the purpose, technical solution and advantages of the present invention clearer, the implementation manners of the present invention will be further described in detail below.
[0024] The invention designs a novel multi-mode brain-computer interface method based on sequential compound limb imagination movements. Sequential compound limb imagination is the imagination of action sequences involving multiple limbs, that is, continuous imagination of two or more body movements in a certain sequence. Based on three types of simple body imagining actions, a sequential compound body imagining action that conforms to the user's daily behavior and can be completed with the cooperation of hands or hands and feet is established. It continuously activates neuronal oscillations in multiple functional areas of the brain. Sequential compound imaginary movements of limbs have rich combination modes and many optional categories. Its application can expand the instruct...
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The invention discloses a brain-machine interface method based on sequence composite limb imaginary movement. The method comprises the following steps: acquiring an electroencephalogram signal by virtue of a 64 lead electroencephalogram acquisition system, and extracting characteristics from the electroencephalogram signal; screening the characteristics by virtue of recursion supporting a vector machine; respectively adopting the characteristics of lead 1, lead 2,..., lead N according to a sequential index as the input of a classifier, obtaining a recognition rate result under the combination of corresponding leads, wherein the lead combination with the highest recognition rate is the optimum combination. By adopting the method, the command set of the traditional brain-machine interface system based on the simple limb imaginary movement can be enlarged, the multi-command output can be satisfied, compared with the application of total lead characteristics, after the characteristics are screened, the highest accuracy can be acquired by utilizing least lead, and the characteristic dimensions can be effectively reduced.
Description
technical field [0001] The invention relates to the field of brain-computer interface, in particular to a brain-computer interface method based on sequential compound limb imagination movements. Background technique [0002] Imaginary action, that is, there is only motor intention but no actual action output, can lead to changes in the activity state of a large number of neurons in the sensorimotor area of the cerebral cortex, and make certain frequency components in the EEG signal synchronously attenuated or enhanced. This phenomenon is called Event-related desynchronization or synchronization phenomenon (event-related desynchronization orsynchronization, ERD / ERS). Among them, ERS corresponds to the rising process of EEG rhythm energy in a specific frequency band under the relevant imaginative action mode, and ERD is the decay process of energy. Moreover, different imaginary actions can induce corresponding EEG changes. This phenomenon of changes in EEG energy can be de...
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IPC IPC(8): G06F3/01
CPCG06F3/015G06F2203/011
Inventor 明东奕伟波王坤綦宏志何峰杨佳佳张力新
Owner TIANJIN UNIV