System for training brain concentration of soldiers on basis of electroencephalogram nerve feedback

A neurofeedback and concentration technology, applied in the information field, can solve problems such as low efficiency of human-computer interaction, discontinuous information interaction, and unsatisfactory actual effects, so as to improve training efficiency and save training time

Inactive Publication Date: 2018-12-18
KUNMING UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

[0004] However, the current EEG-based BCI technology is facing many technical challenges. One of the challenges is that the efficiency of human-computer interaction is not high during engineering implementation. Specifically, the human brain is a complex system that carries out many physiological and chemical reactions in real time. The body, the existing BCI technology

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  • System for training brain concentration of soldiers on basis of electroencephalogram nerve feedback
  • System for training brain concentration of soldiers on basis of electroencephalogram nerve feedback
  • System for training brain concentration of soldiers on basis of electroencephalogram nerve feedback

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Embodiment 1

[0021] Embodiment 1: as Figure 1-4 As shown, a system based on EEG neurofeedback is used to train soldiers' brain concentration function, including:

[0022] PC1: used to process the EEG data collected by the received EEG signal acquisition equipment, which is generated by the subject’s gaze at the feedback stimulus information on PC3, to obtain classification accuracy data; and transmit the classification accuracy data to PC2;

[0023] PC2: used for storing and outputting the classification accuracy data received by PC1;

[0024] PC3: It is used to connect with the network and provide the experimenter with a database of feedback stimulus information.

[0025] Further, the step of setting the PC1 to process the EEG data is as follows: PC1 uses spatial filtering to process the received EEG data to obtain the EEG signal filtered by the common average reference space; Band-pass filtering is performed on the final EEG signal to remove unnecessary band signals and obtain the req...

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Abstract

The invention discloses a system for training the brain concentration of soldiers on the basis of electroencephalogram nerve feedback. The system comprises a PC1 used for processing received electroencephalogram data which is collected by an electroencephalogram signal acquisition device and generated when a test person stares at feedback stimulation information on a PC3 to obtain classification precision data and transmit the classification precision data to a PC2; the PC2 used for carrying out storage and voice output on the classification precision data obtained after being processed by thePC1; the PC3 used for being interconnected with a network and providing a feedback stimulation information database for a tester. The electroencephalogram data of a soldier corresponding to certain feedback stimulation information in the neural feedback training process are processed by the PC1, and the classification precision data of the concentration level of the soldier caused by the feedbackof stimulation information can be obtained to realize concentration training. The classification precision data is input into the EXCEL of the PC2 in a percentage mode, and the classification precision data is fed back to the soldier in time through voice output, so that the soldier dynamically adjusts the current feedback stimulation information in the PC3 so as to save the training time and improve the training efficiency.

Description

technical field [0001] The invention relates to a system for training soldiers' brain concentration function based on EEG neurofeedback, which belongs to the field of information technology. Background technique [0002] EEG-based BCI technology not only has important research significance in today's information age, but also has a wide range of application fields and practical value. BCI technology can directly use human EEG signals, quickly build control models through external software and hardware information processing equipment, form control instructions, and then control external physical equipment to achieve the behavior goals that individuals want to achieve. [0003] This type of technology can provide auxiliary motion control for disabled people with severe motor dysfunction and improve their quality of life; it can also be used in the military field to improve the combat effectiveness of individual soldiers. According to the research progress of EEG information,...

Claims

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Application Information

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IPC IPC(8): A61M21/00G06K9/62
CPCA61M21/00A61M2021/0005G06F18/24
Inventor 王文乐伏云发熊馨李昭阳陈睿周洲洲李玉
Owner KUNMING UNIV OF SCI & TECH
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