A Neural Analysis Method of Motor Initiation Intent Considering Cognitive Distraction

Abstract

The invention discloses a neural analysis method for the initial intention of exercise considering cognitive distraction. The specific steps are as follows: S1. Identify the state of attention in the process of the exercise task, and judge whether there is cognitive distraction in the state of concentrated attention ; S2. Recognizing the movement initiation intention in the states of concentration and cognitive distraction respectively. The present invention recognizes the state of concentration of attention in the process of motor tasks through EEG signals, can obtain real-time neural attention state feedback, and then establishes a motion initial intention recognition model in line with the current situation according to different attention states, which is helpful for building a A reliable adaptive BCI system is necessary and critical. At the same time, it provides a new idea for the study of upper limb motion decoding, and provides a basis for further research on human-computer collaborative interaction.

Description

technical field [0001] The invention belongs to the technical field of neuroscience, and in particular relates to a neural analysis method of 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 movement intentions based on electroencephalogram signals (EEG signa...

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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 Detection Results

On the one hand, in the actual human-computer interaction system, when a person performs a specified motion task, he will inevitably be distracted by external factors or other tasks, resulting in distraction, which will affect the completion of the motion task. This will have an impact on the detection of motion initiation intentions

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