Electroencephalogram information monitoring device and method for intelligent safety helmet
A monitoring device and safety helmet technology, applied in the field of EEG information monitoring devices, can solve the problems of abnormal alarm and summary evaluation of the physical state of people who cannot wear it, and the collection and display of vital sign information of people who do not wear it, so as to achieve accurate and complete information collection, The effect of avoiding safety accidents and improving accuracy
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Embodiment 1
[0025] Embodiment 1: as figure 1 , figure 2 , image 3 and Figure 4 As shown, an EEG information monitoring device for a smart helmet, the cap liner 3 is installed in the inner cavity of the smart helmet 1, and three cap liner contact sensors 4 are distributed and connected to the cap liner 3, and the cap liner contact sensors 4 are connected to The EEG information processor is connected to the hard hat main board 2, the hard hat main board 2 is connected to the launch module, the launch module is connected to the command and dispatch platform, and the hard hat main board 2 and the launch module are connected to the smart helmet 1.
[0026] The EEG information processor acquires the brain wave data of the personnel in real time according to the information transmitted from the cap liner contact sensor 4, forms the vital sign information of the personnel, and generates an alarm signal when the information is abnormal. The personnel vital signs information includes the abno...
Embodiment 2
[0027] Embodiment 2: as figure 1 , figure 2 , image 3 and Figure 4 As shown, an EEG information monitoring device of a smart helmet utilizes the built-in human body sign monitoring sensor (hat liner contact sensor 4, and EEG information processor) in the helmet to obtain the vital sign data of the personnel in real time (such as Brain wave) and send back, compare and analyze the collected data with the normal physiological indicators of the human body through artificial intelligence analysis, and find that the signs of the workers are abnormal, such as taking off their hats, awake, fatigue, sleep, coma, etc., and immediately call the police. It can actively prevent in advance and effectively avoid the occurrence of safety accidents caused by personnel physical reasons.
[0028] Realization principle: There are three cap liner contact sensors 4 on the cap liner 3 of the smart helmet 1, which can collect the wearer’s EEG information by touching the human skin. The cap line...
Embodiment 3
[0029] Embodiment 3: as figure 1 , figure 2 , image 3 and Figure 4 As shown, a method for monitoring EEG information of a smart helmet includes the following steps. Using the EEG information monitoring device of a smart helmet, the vital sign data (such as brain waves) of a person is obtained in real time and transmitted back. Intelligent analysis algorithms, such as Fourier algorithm, neural network algorithm and other algorithms, compare and analyze the collected data with the normal physiological indicators of the human body, and find abnormal signs of the workers, such as hat removal, wakefulness, fatigue, sleep, coma, etc. Immediately calling the police can actively prevent accidents in advance and effectively avoid the occurrence of safety accidents caused by personnel physical reasons.
[0030] It also contains the following steps. There are 3 cap liner contact sensors 4 on the cap liner of the smart helmet, which can collect the wearer's EEG information by touchi...
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