Real-time epileptic seizure detecting and monitoring system for epileptic video electroencephalogram examination

Abstract

The invention discloses a real-time epileptic seizure detecting and monitoring system for epileptic video electroencephalogram examination, which comprises a data processing module, a model selection module, an epileptic seizure alarm module and an interactive collaborative labeling module, wherein the data processing module is used for processing input electroencephalogram signal data into data forms required by epileptic seizure detection models; the model selection module is used for constructing and selecting the epileptic seizure detection model for a current patient; the epileptic seizure alarm module is used for detecting epileptic seizure and giving alarms; and the interactive collaborative labeling module is used for interaction among the epileptic seizure alarm module, accompanying persons and a monitoring room. Aiming at practical problems in clinical video electroencephalogram examination, a functional module is designed, the feature learning ability and training speed of the epileptic seizure detection models and the accuracy of real-time epileptic seizure detection are improved, and the experience of accompanying persons and doctors is greatly improved.

Description

technical field [0001] The invention relates to the field of medical care information, in particular to a real-time detection and monitoring system for epileptic seizures oriented to epilepsy video electroencephalogram examination. Background technique [0002] Epilepsy, one of the most common neurological disorders, is characterized by frequent sudden surges of abnormal electrical activity in parts or entire brain regions. An EEG is an electrical recording of brain activity and is an important basis for the diagnosis and analysis of epilepsy. Video EEG combines scalp EEG and high-definition video to simultaneously record brain electrical activity and patient behavior. It has the characteristics of high temporal resolution and non-invasiveness, and is currently the most commonly used epilepsy detection method. The video EEG examination lasts for a long time and usually needs to include the wake-sleep-wake process, usually more than 4 hours, and can be as long as 24 hours. ...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to address the deficiencies in the prior art, and propose a real-time detection and monitoring system for seizures oriented to epileptic video EEG examination, which is used to solve the problem of real-time detection of epileptic seizures during the video EEG examination process of epileptic patients. And the problem of alarming and recording the moment of the patient's seizure after detecting the patient's seizure

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