Motion initiation intent neural analysis method considering cognitive distraction

A technique for parsing methods and intentions, applied in the field of neuroscience, which can solve problems such as distraction, affecting the completion of motor tasks, and not taking multitasking into account.

Active Publication Date: 2021-06-01
BEIJING INSTITUTE OF TECHNOLOGYGY
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AI Technical Summary

Problems solved by technology

[0004] However, in the current research on motion initiation intention detection, most of them focus on the detection of motion initiation intention in the case of people performing a single task of motion, without taking into account the situation of multi-tasking, and not considering the Influence of Attention Concentration State on Detecti

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  • Motion initiation intent neural analysis method considering cognitive distraction
  • Motion initiation intent neural analysis method considering cognitive distraction
  • Motion initiation intent neural analysis method considering cognitive distraction

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Embodiment 1

[0041] refer to figure 1 As shown, the present invention provides a neural analysis method for the initial movement intention considering cognitive distraction. After the EEG signal is preprocessed, the detection and identification of the attention state is first completed, that is, it is judged whether the current upper limb movement is recognized or not. The interference of the task, the output of the recognition result, so as to obtain two kinds of attention states when performing the motor task, "concentration" and "distraction". Next, the analysis models of motion initiation intentions are established in the two attention states respectively to predict whether there is motion intention in the two attention states.

[0042] Specific steps are as follows:

[0043] Step 1, identify the state of attention in the motor task process, and judge whether there is cognitive distraction in the state of concentration of attention;

[0044] S1. Data acquisition: Collect the EEG sign...

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Abstract

The invention discloses a motion initiation intention neural analysis method considering cognitive distraction, and the method comprises the following specific steps: S1, recognizing an attention state in a motion task process, and judging whether the cognitive distraction exists in an attention concentration state; and S2, respectively identifying motion starting intentions in the attention concentration state and the attention cognition distraction state. According to the method, the attention concentration state in the motion task process is recognized through the electroencephalogram signals, real-time nerve attention state feedback can be obtained, then the motion starting intention recognition model meeting the current situation is established according to different attention states, and it is very necessary and critical to construct a reliable self-adaptive BCI system. Meanwhile, a new thought is provided for research on upper limb motion decoding, and a basis is provided for further research on man-machine collaborative interaction.

Description

technical field [0001] The invention belongs to the technical field of neuroscience, and in particular relates to a neural analysis method for motor initial intention considering cognitive distraction. Background technique [0002] Analyzing the initial intention of motion is an important research content in human-computer interaction systems. By detecting and analyzing whether there is a human motion intention, especially the initial motion intention of the hand, the human-computer interaction system can better assist humans. For stroke or disabled patients, the detection of motion initiation intention can more accurately assist them in sports rehabilitation training; for healthy people, the detection of motion initiation intention can help more accurately assist the operator to complete the specified motor task. Since the brain is the highest control center of human activities, analyzing people's initial motion intentions based on electroencephalogram signals (EEG signal...

Claims

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Application Information

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IPC IPC(8): A61B5/16A61B5/369A61B5/372A61B5/00
CPCA61B5/168A61B5/7203A61B5/7225A61B5/7267
Inventor 毕路拯夏胜超费炜杰王佳蓉
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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