Human body fatigue evaluation method based on brain waves

An evaluation method and brain wave technology, applied in medical science, psychological devices, sensors, etc., can solve the problems of poor individual pertinence, high misjudgment rate, and large level judgment error, so that it is not easy to achieve local optimum and make mistakes The rate becomes smaller and has the effect of accuracy

Inactive Publication Date: 2014-08-20
朱晓斐 +3
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AI Technical Summary

Problems solved by technology

This method solves the problems that the traditional method is not very specific to individuals, the misjudgment rate is too large, and the level judgment error is too large

Method used

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  • Human body fatigue evaluation method based on brain waves
  • Human body fatigue evaluation method based on brain waves

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Experimental program
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Embodiment Construction

[0011] 1. Collect EEG signals by contacting the forehead of the brain with dry electrodes, and the obtained raw data will be transmitted to the ThinkGear AM EEG chip in real time, and processed by the algorithm built into the chip itself to obtain digital raw EEG data, including 8 EEG parameters of delta, theta, slow alpha, fast alpha, slow beta, fast beta, slow gamma, medium gamma wave, and two eSense parameters of "focus" and "relaxation", the EEG chip will process the data The data is sent to the mobile phone through Bluetooth in the form of data packets, and the data is parsed by the corresponding software and stored in the EXCEL form.

[0012] 2. Calculate the following four types of signals from the original brain wave data,

[0013] (1) Two nonlinear parameters based on alpha wave complexity and power spectrum entropy;

[0014] (2) Obtain the fatigue index F by calculating the energy spectrum of the four basic rhythms of delta wave, theta wave, alpha wave and beta wav...

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Abstract

The invention discloses a human body fatigue evaluation method based on brain waves. According to the method, a ThinkGearAM electroencephalogram chip is used for acquiring original brain wave signals, an built-in algorithm is used for analyzing and processing the original brain wave signals, and four kinds of parameters are given through calculation according to processed brain wave data; the four kinds of parameters include variable coefficients of five brain wave signals of original delta waves, original theta waves, original alpha waves, original beta waves and original gamma waves, two nonlinear parameters of complexity and power spectral entropy, a fatigue index F worked out through energy of four basic rhythms of the delta waves, the theta waves, the alpha waves and the beta waves in the brain waves, and two parameters of relaxation degree and attention degree extracted through the brain wave signals, and the four kinds of parameters serve as input of a probabilistic neural network (PPN), the output of the PNN serves as a human body fatigue evaluation basis, and therefore the human body fatigue can be judged according to the brain waves of people.

Description

technical field [0001] The invention relates to human health engineering, neurophysiology, biomedicine, digital signal processing technology, pattern extraction and pattern classification, software engineering, and in particular to a method for evaluating human fatigue degree based on brain waves. Background technique [0002] Fatigue refers to the state in which labor efficiency tends to decline due to prolonged or excessive physical or mental labor under certain environmental conditions. In medicine, according to the nature of fatigue, fatigue can be divided into physical fatigue and psychological fatigue, the evaluation of fatigue state can be carried out through subjective and objective methods. The methods of subjective evaluation are mainly based on subjective questionnaires, self-recording forms, sleep habits questionnaires, and Stanford sleep scales to evaluate the fatigue level of the subjects. The method of objective evaluation mainly starts from a medical point o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/16A61B5/0476
Inventor 朱晓斐孙耀胜唐丹黎韩冰
Owner 朱晓斐
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