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A fatigue detection and control method based on EEG-eye movement dual-modal signals

A fatigue detection, dual-modality technology, used in electrotherapy, eye testing equipment, diagnostic recording/measurement, etc., to solve problems such as the inability to continuously monitor the fatigue level of high-load workers

Active Publication Date: 2022-02-01
BEIJING MECHANICAL EQUIP INST
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of the above analysis, the embodiment of the present invention aims to provide a fatigue detection and control method based on EEG-eye movement dual modes, to solve the problem that the existing technology cannot continuously monitor the fatigue degree of high-load workers and provide neural control in a timely manner. The problem

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  • A fatigue detection and control method based on EEG-eye movement dual-modal signals
  • A fatigue detection and control method based on EEG-eye movement dual-modal signals
  • A fatigue detection and control method based on EEG-eye movement dual-modal signals

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Embodiment 1

[0058] A specific embodiment of the present invention discloses a kind of, such as figure 1 shown, including the following steps:

[0059] S1. Obtain the EEG monitoring data and eye movement monitoring data of the operator;

[0060] S2. Perform feature extraction (dual-mode signal feature extraction) on the EEG monitoring data and eye movement monitoring data to obtain corresponding EEG features and eye movement features;

[0061] S3. Perform feature fusion of the EEG features and eye movement features (dual-mode signal feature fusion), and input the fusion results into a pre-built fatigue prediction model based on EEG-eye movement dual modes (dual-mode signal fatigue prediction model ), determine whether neuromodulation is needed; if neuromodulation is required, perform transcranial direct current stimulation on the operator; if no neuromodulation is required, determine that the fatigue status of the operator does not affect work performance.

[0062] When implemented, such...

Embodiment 2

[0065] To perform optimization on the basis of the above-mentioned embodiments, the fatigue prediction model of the EEG-eye movement dual mode needs to be established in advance. The process of fatigue detection and regulation of operators is as follows: image 3 shown. Regarding its establishment method, such as Figure 4 shown, including the following steps:

[0066] S01. Obtain a test set including N groups of EEG monitoring data, eye movement monitoring data and corresponding fatigue levels. Specifically, the Neuroscan 64-lead EEG acquisition system was used to collect the EEG monitoring data of the workers. The electrodes used were Ag / AgCl electrodes, with the forehead as the ground and the left ear mastoid as the reference. When in use, set the EEG sampling frequency of the Neuroscan 64-lead EEG acquisition system to 1000 Hz, the band-pass filter range to 0.1-100 Hz, and use a 50 Hz notch filter to remove power frequency interference. The Eyelink 1000plus eye trackin...

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Abstract

The invention relates to a fatigue detection and regulation method based on EEG-eye movement dual modes, which belongs to the technical field of fatigue detection and regulation, and solves the problem in the prior art that it is impossible to continuously monitor the fatigue degree of high-load workers and perform neural regulation in a timely manner question. The fatigue prediction model based on EEG-eye movement dual-modality disclosed by the present invention uses machine learning methods to analyze the dual-modal fusion features, that is, the fusion results of EEG features and eye movement features, to identify the mental fatigue state of workers, and to As a result, the need for neuromodulation is judged. If not needed, operators can continue to work and maintain high work performance. Brain reversal interventions were applied using transcranial direct current stimulation, if needed. Through two-way closed-loop fatigue monitoring and adaptive regulation, the excitability of the functional areas of the cerebral cortex is adjusted, thereby improving the physiological state of the workers and ensuring the efficiency and stability of their work performance.

Description

technical field [0001] The invention relates to the technical field of fatigue detection and regulation, in particular to a method for fatigue detection and regulation based on EEG-eye movement dual modes. Background technique [0002] In a complex operating environment, high-load task operators, such as astronauts and pilots, need to maintain a high degree of concentration at all times to ensure stable and efficient work performance. As the load of tasks and information increases, the occupancy rate of mental cognitive resources of operators will be greatly increased, which can easily lead to mental fatigue. [0003] Changes in the physiological state of workers may cause the central nervous system to respond slowly, resulting in inattention, decreased alertness and work ability, misjudgments and missed judgments of information, and even operational errors causing safety hazards. [0004] In order to effectively improve the mental fatigue state of long-time, high-load task...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B5/18A61B5/369A61B5/11A61B3/113A61B3/11A61B5/00A61N1/20A61B5/398
CPCA61N1/20A61B3/112A61B3/113A61B5/1103A61B5/168A61B5/18A61B5/7203A61B5/725A61B2503/22A61B5/398A61B5/369
Inventor 奕伟波范新安陈远方张利剑
Owner BEIJING MECHANICAL EQUIP INST
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