Trinity hat intelligent monitoring and early warning system

Abstract

The invention discloses a three-in-one hat type intelligent monitoring early warning system and a control method thereof. The three-in-one hat type intelligent monitoring early warning system includes the following components of: a signal acquisition unit which is of a hat type structure so as to be worn in the head of a user, and includes a frame and three electrodes fixed at different positions of the frame, wherein the electrodes are used for acquiring electroencephalogram signals of the head of the user; a signal processing unit which receives the electroencephalogram signals transmitted by the signal acquisition unit and converts the electroencephalogram signals into feature vector signals, and stores and outputs the feature vector signals; an intelligent evaluation unit used for receiving the feature vector signals transmitted by the signal processing unit through a multi-parameter vector feature recognition module, and classifies and performs early warning judgment on the feature vector signals through a deep learning multi-parameter training module, and transmits early warning signals or stores the feature vector signals; and a positioning unit which receives the early warning signals transmitted by the intelligent evaluation unit and outputs positioning signals.

Description

technical field [0001] The invention relates to the field of monitoring and wearable intelligent equipment. More specifically, the present invention relates to a trinity cap-type intelligent monitoring and early warning system. Background technique [0002] Mild hepatic encephalopathy (MHE) is characterized by hidden nerves and movement disorders, and it is easy to develop into clinical hepatic encephalopathy. Although it is the mildest form of hepatic encephalopathy, the onset is often outside the medical institution. Out of the monitoring environment, transient movement disorders are likely to cause falls, trauma and traffic accidents, so early diagnosis and intervention are particularly important. Existing studies are mainly based on subjective methods and passive assessment of behavioral diagnosis. There are passive subjective factors, and the monitoring starts after the patient has developed a serious hysteresis. It has almost no practical significance for the preventi...

AI Technical Summary

Problems solved by technology

Invention patent CN201320486784 discloses an EEG acquisition device, which is mainly designed for a new type of suction cup magnetic electrode, but the measurement method used is still the traditional scalp electrode method, which is inconvenient to use and requires a special EEG acquisition device

[0006] In addition, most of the existing EEG monitoring uses professional testing, and the results are interpreted by professional doctors. Even some mobile medical devices require professional interpretation, which is not suitable for daily monitoring.

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