Early warning system and application of epileptic seizures based on portable Electrical Electrical Collection Equipment

Abstract

An epileptic seizure warning system and application based on a portable EEG acquisition device, including sequentially connected: a portable EEG acquisition device, a physiological state analysis module, and an seizure risk assessment system. The portable EEG acquisition device collects EEG from the brain of the subject EEG signals: The physiological state analysis module receives EEG EEG signals, and combines the multi-layer complex network of the brain and the deep learning model to intelligently identify the key electrodes related to epilepsy of the subject, so as to realize the effective identification of epilepsy EEG EEG signals and Classification; Based on the classification results, the seizure risk assessment system analyzes the current seizure risk, generates corresponding alarm instructions, and transmits the instructions to the early warning system for alarm. By automatically collecting and analyzing EEG signals, the present invention realizes rapid early warning of epileptic seizures, reminds patients to respond in time, and reduces the pain and harm of epilepsy. Real-time seizure risk detection is performed using the present invention to reduce unknown seizure risk.

Description

technical field [0001] The present invention relates to an epileptic seizure early warning system. In particular, it relates to an epileptic seizure early warning system and application based on a portable EEG acquisition device. Background technique [0002] There are approximately 50 million people with epilepsy in the world, with seizures of indeterminate timing and severe symptoms. Epilepsy damages normal nerve cells and can lead to a variety of derived diseases that can have serious consequences for the behavior, organs, and even life of people with epilepsy. If the trend of epilepsy can be found in time and medicines or medical treatment can be prepared in advance, the harm of epilepsy can be greatly reduced, but the physical signs of epilepsy are generally not obvious enough. When it can be judged by the naked eye, it is generally too late to take measures. Signal characterization Techniques for the immediate detection of seizure precursors are critical to the treat...

AI Technical Summary

Problems solved by technology

[0004] EEG signal data has the characteristics of large quantity, many features, and rapid changes. After the data collection is completed, if artificial analysis is performed, a lot of time will be wasted and some important information will be missed.

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