Epilepsy prediction system and method based on electrical impedance imaging and electroencephalogram signals

Abstract

The invention discloses an epilepsy prediction system and method based on electrical impedance imaging and electroencephalogram signals. The epilepsy prediction system comprises an acquisition module,a deep feature generation module, a superficial feature generation module, a classification module and a prediction module. The system can collect brain function three-dimensional images and electroencephalogram signal time-frequency characteristics in real time, high temporal-spatial resolution monitoring of electroencephalogram signal changes is achieved, and the electroencephalogram signal characteristics and the three-dimensional function imaging characteristics are fused; through classification training of shallow layer characteristics and deep layer characteristics, a time period category and a time domain waveform category are output quickly and conveniently in real time, and epilepsy can be predicted more accurately.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to an epilepsy prediction system and method based on electrical impedance imaging and electroencephalogram signals. Background technique [0002] Epilepsy is a common disease of the brain and nervous system. It originates from abnormal discharge of brain neurons and leads to transient brain dysfunction. At present, the clinical prediction of epilepsy mainly depends on the doctor's visual observation of the EEG, and its detection efficiency is low. , the judgment basis information is not rich enough. The electrode array of non-invasive scalp electroencephalography (EEG) is located on the surface of the scalp, which can collect electrical signal information of the brain with high temporal resolution, but the effect of real-time acquisition of high spatial resolution signal is poor, and it fails to detect the abnormal electrical signal physiologically. Bioelectrical impedance tomogra...

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Problems solved by technology

[0005] In view of the above problems, the purpose of the present invention is to solve the problems of low measurement efficiency of current epilepsy detection methods, single real-time monitoring data, and the lack of technical means for brain electrical impedance imaging and EEG signals to be applied to epilepsy prediction, so as to realize the use of electrical impedance Imaging and EEG signals on seizure probability and possible distribution of onset sites

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