Device for dynamically prewarning epileptic seizure

Abstract

The invention discloses a device for dynamically prewarning epileptic seizure. The device comprises an electroencephalogram collection part which comprises an electroencephalogram electrode and a signal conditioning circuit, wherein the electroencephalogram electrode is used for acquiring an electroencephalogram signal and transmitting the electroencephalogram signal to the signal conditioning circuit for preprocessing; the device further comprises a storage part for receiving and storing the electroencephalogram signal preprocessed by the signal conditioning circuit, and a micro processor configured to acquire the electroencephalogram signal with a preset fixed time length from the storage part and perform two-stage secondary classification on the acquired electroencephalogram signal; a normal electroencephalogram signal and an abnormal electroencephalogram signal are output through first-stage secondary classification, and an epileptic seizure sign electroencephalogram signal and an epileptic seizure phase electroencephalogram signal are output through second-stage secondary classification; the device further comprises an output part which is connected with the micro processor and is used for realizing real-time prewarning of the epileptic seizure sign and the epileptic seizure phase.

Description

technical field [0001] The invention belongs to the field of mobile medical technology, in particular to a device for dynamic early warning of epileptic seizures. Background technique [0002] Seizures are transient involuntary convulsions of a part of the body or the entire body, sometimes accompanied by loss of consciousness and urinary and fecal incontinence, which are potentially life-threatening. An effective way to avoid personal injury or even life-threatening caused by epileptic seizures is to detect the early information of epileptic seizures in time, and to issue early warnings to medical staff, patient guardians or relatives in time. [0003] It is possible to detect ictal or preictal features by analysis of physiological or motor signals from surface or extracorporeal monitoring. Epileptic seizures are caused by abnormal discharge of a group of brain cells, so it is possible to predict epileptic seizures as early as possible through the analysis of EEG signals. ...

AI Technical Summary

Problems solved by technology

The dynamic properties of EEG signals in different dimensions are obtained through multiple algorithms, and then these properties are mapped to a unified nonlinear domain based on a specific fusion mechanism, which provides the possibility for a complete description of its nonlinear characteristics and guarantees the greatest extent. The generalization ability of the method, the public literature that can be retrieved currently has not involved this concept, what method to use and how to fuse it to accurately describe the EEG signal are unknown areas

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