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Human body faint early warning method based on acquired electroencephalogram signals

A technology of EEG signal and human body, applied in the fields of aviation medicine and biomedical engineering, to achieve the effect of eliminating differences

Active Publication Date: 2014-06-11
TSINGHUA UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

This method can carry out early identification and early warning of the state of the human brain before fainting, thereby avoiding greater damage to the trainee, and has important practical significance for solving the problem of high G protection

Method used

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  • Human body faint early warning method based on acquired electroencephalogram signals
  • Human body faint early warning method based on acquired electroencephalogram signals
  • Human body faint early warning method based on acquired electroencephalogram signals

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Embodiment Construction

[0014] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention. On the contrary, the embodiments of the present invention include all changes, modifications and equivalents coming within the spirit and scope of the appended claims.

[0015] In the description of the present invention, it should be understood that the terms "first", "second" and so on are used for descriptive purposes only, and cannot be interpreted as indicating or implying relative importance. In the description of the present invention, it should be noted that unless otherwise specified and limited, the terms "connected" and "connect...

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Abstract

The invention provides a human body faint early warning method based on acquired electroencephalogram (EEG) signals. The human body faint early warning method comprises the following steps of acquiring EEG signals of M channels of a human centrifuge at different G values by an EEG acquirer, wherein M is a positive integer; preprocessing the EEG signals in the M channels for acquiring low-frequency EEG data of each channel in the M channels; acquiring the parameter correlation rate of a frequency band of each EEG signal at each data field; when one parameter correlation rate meets early warning conditions before faint, carrying out human body faint early warning reminding. According to the method disclosed by the embodiment of the invention, the state before the human body faint can be recognized in advance and be early warned, the physical signs of a trainee are facilitated to be comprehensively learnt, and the practical application value for guiding human body training is realized.

Description

technical field [0001] The invention relates to the fields of aeromedicine and biomedical engineering, in particular to a human body fainting early warning method based on collecting electroencephalogram signals. Background technique [0002] Since the advent of high-performance fighter jets, high-G protection has become a major theoretical and practical problem in aviation medicine. The loss of consciousness caused by the acceleration of gravity (G-LOC (G-induced loss of consciousness, G-LOC) seriously threatens flight safety. Therefore, in flight and training, in order to ensure the safety of pilots, it is necessary to monitor the physiological state of the human body in real time for judgment and warning. [0003] At present, the pilot's physical state can be understood by monitoring the pilot's electrocardiogram, ear pulse signal and brain signal. Among them, arrhythmia in ECG is often used as an indicator of downtime during training, and heart rate is a valuable and i...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B5/0476
Inventor 张涛李毅峰邓略陈勇胜
Owner TSINGHUA UNIV
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