Epileptic seizure early warning system based on portable electroencephalogram collection equipment and application thereof

Abstract

The invention discloses an epileptic seizure early warning system based on portable electroencephalogram collection equipment and application thereof. The epileptic seizure early warning system comprises the portable electroencephalogram collection equipment, a physiological state analysis module and a seizure risk assessment system which are connected in sequence, wherein the portable electroencephalogram collection equipment collects EEG electroencephalogram signals from the brain of a subject; the physiological state analysis module receives the EEG electroencephalogram signals and intelligently recognizes key electrodes, related to epilepsy, of the subject in combination with a brain multilayer complex network and a deep learning model, and thus achieves effective recognition and classification of the epilepsy EEG electroencephalogram signals; and the seizure risk assessment system analyzes a current seizure risk based on a classification result, generates a corresponding alarm command, and transmits the command to the early warning system for alarming. By automatically collecting and analyzing the electroencephalogram signals, rapid early warning of epileptic seizure is achieved, a patient is reminded to make a response in time, and the pain and harm of epilepsy are relieved. By using the method, the epileptic seizure risk can be detected in real time, so that the unknownseizure risk can be reduced.

Description

technical field [0001] The invention relates to an early warning system for epileptic seizures. In particular, it relates to an epileptic seizure early warning system and application based on a portable EEG acquisition device. Background technique [0002] About 50 million people with epilepsy worldwide suffer from indeterminate seizures and severe symptoms. Epilepsy can damage normal nerve cells and can lead to a variety of derivative diseases, which can seriously affect the behavior, organs and even life of epilepsy patients. If you can find out the tendency of epilepsy in time and prepare medicines or seek medical treatment in advance, the harm of epilepsy can be greatly reduced. However, the physical signs of epilepsy are generally not obvious enough. When they can be judged by the naked eye, it is generally too late to take measures. Therefore, through some physiological Signal characteristics The technology of instant detection of epileptic seizure precursors is cruc...

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.

Images