Mental fatigue monitoring method, device and system and mobile processing terminal

Abstract

The invention discloses a mental fatigue monitoring method, device and system and a mobile processing terminal. The metal fatigue monitoring method is characterized in that personalized calibration is performed on a monitored person to acquire characteristic parameters of the monitored person under the non-fatigue state, and the characteristic parameters are taken as basic parameters. The mental fatigue monitoring method includes: acquiring electrocardiograph signals of the monitored person in real time and generating an HRV (heart rate variability) sequence according to the electrocardiograph signals; subjecting the HRV sequence to time-domain analysis to acquire time-domain characteristic parameter SDNN (standard diviation of NN intervals); subjecting to the HRV sequence to time-and frequency-domain analysis to acquire a frequency-domain characteristic parameter and curves of the frequency domain characteristic parameters changing over time, wherein the frequency domain characteristic parameters include TP, LF and HF; comparing the time-domain characteristic parameter as well as the frequency-domain characteristics parameter with the basic parameters and judging whether the monitored person enters the mental fatigue state or not in real time. By the mental fatigue monitoring method, mental fatigue can be monitored conveniently and rapidly, judgment standards can be set for different monitored persons, and accuracy of mental fatigue monitoring results can be improved.

Description

technical field [0001] The invention relates to a mental fatigue monitoring method, device, system and mobile processing terminal. Background technique [0002] With the continuous increase of work pressure and life pressure in modern society, most people have different degrees of mental fatigue, which can be manifested as irritability, lack of concentration, and slow response. If mental fatigue cannot be detected and relieved in time, it will have a great impact on cardiovascular and neurological functions, and even cause some psychogenic diseases, seriously endangering human health. [0003] The existing mental fatigue detection methods are mainly divided into two categories: subjective assessment method and objective assessment method: [0004] Subjective assessment methods are generally carried out in the form of questionnaires, and the testees determine their own mental fatigue by answering the questionnaires. This method is greatly affected by the subjective factors o...

AI Technical Summary

Problems solved by technology

This method has the following problems: firstly, general standards are adopted when judging the degree of fatigue, but there are large differences in the physical con

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