EEG monitoring system based on smart cloud

Abstract

The invention discloses an electroencephalogram monitoring system based on smart cloud. The system comprises an electroencephalogram monitoring device, a detection central control computer, a handheld operation device and a cloud server, wherein the electroencephalogram monitoring device is worn on a human body and is used for collecting a real-time electroencephalogram signal; the detection central control computer is in communication connection with the electroencephalogram monitoring device and is used for receiving the real-time electroencephalogram signal; the handheld operation device is in communication connection with the electroencephalogram monitoring device and is used for receiving the real-time electroencephalogram signal; and the cloud server is respectively in communication connection with the detection central control computer and the handheld operation device, and is used for receiving the real-time electroencephalogram signal, preprocessing the signal, transmitting data, and analyzing and storing data. According to the electroencephalogram monitoring system provided by the invention, a user can collect the real-time electroencephalogram signal by wearing the electroencephalogram monitoring device, the real-time electroencephalogram signal can be transmitted to the cloud server for classifying and storing data by the detection central control computer or the handheld operation device, and a real-time health risk report can be output, so that the probability of early detection and intervention for diseases can be promoted, a necessary data source is supplied for clinical diagnosis and accurate medical treatment, and the system is beneficial to the research on pathogenesis of the research and development institution or the medical institution.

Description

Technical field [0001] The invention relates to the technical field of brain electricity detection, and more specifically, the invention relates to a brain electricity monitoring system based on a smart cloud. Background technique [0002] Due to the accelerated pace of life, people gradually develop bad habits or ways of life, and brain diseases have gradually become one of the main diseases threatening human health. This has led to an increasing demand for medical equipment that can detect and monitor brain diseases in health institutions and patients. Increase. There are many ways to detect brain diseases, such as nuclear magnetic resonance (MRI), computerized tomography (CT), positron emission tomography (PET), and electroencephalogram (EEG). Among the many detection methods, EEG monitoring has the advantages of non-invasiveness, non-radiation, low cost and sustainable long-term monitoring, and is widely used in the diagnosis, rehabilitation and other brain science research ...

AI Technical Summary

Problems solved by technology

[0003] In the prior art, although most EEG instruments meet the requirements of medical treatment and research in terms of acquisition accuracy, they can only be used in hospitals because of their shortcomings such as large size, inconvenient operation, high price, and high power consumption. Carrying, which not only limits the range of activities of the patient, but also increases the cost of treatment; because it cannot detect the patient's EEG signal in real time, it is especially not suitable for the daily monitoring and early warning of the patient, and it is easy to miss the key information of the EEG. The need for modern precision medicine

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