Fatigue monitoring method and device based on electroencephalogram signals

Abstract

The invention discloses a fatigue monitoring method and device based on electroencephalogram signals. The method comprises the steps of collecting first electroencephalogram signals by utilizing four sets of collecting electrodes arranged in a safety helmet; screening the first electroencephalogram signals by utilizing a gyroscope, and acquiring second electroencephalogram signals; filtering the second electroencephalogram signals by a Kalman filtering algorithm to obtain third electroencephalogram signals; and judging the fatigue state of the third electroencephalogram signals by utilizing a fatigue state judgment algorithm. In this way, collected electroencephalogram signal data are transmitted to an upper computer from portable electroencephalogram equipment through wireless transmission, the collected electroencephalogram signal data are further processed, the electroencephalogram processing procedure and algorithm application are facilitated, filtering and data quality verification are conducted on the electroencephalogram signals under the movement of workers, and a reliable data source is provided for fatigue monitoring.

Description

technical field [0001] The present invention relates to the technical field of electroencephalogram monitoring, in particular to a fatigue monitoring method, device, terminal equipment and storage medium based on electroencephalogram signals. Background technique [0002] Portable EEG equipment can collect and monitor the user's EEG signals more conveniently. Most of the EEG equipment currently on the market has a small number of leads, generally only two sets of electrodes, and the data acquisition process is easily affected by the movement process. The interference of myoelectricity affects the data quality, and the reliability of subsequent data analysis is also poor. Especially when portable EEG equipment is applied to monitor the mental state of workers at work, a lot of myoelectric signal interference will be mixed in the signal acquisition process. [0003] Due to the problem of acquisition accuracy, portable EEG devices generally cannot be used for more complex EEG ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a fatigue monitoring method and device based on EEG signals to solve the problem of poor data acquisition accuracy of existing EEG equipment, susceptibility to myoelectric interference during exercise, and the incompatibility and difficulty of EEG electrode positions and uses. Problems with simultaneous use with hard hats

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