Automatic detection method for epilepsy electroencephalography (EEG)/magnetoencephalography (MEG) abnormal waves and positioning system
A magnetoencephalogram and electroencephalogram technology, applied in the field of epilepsy electroencephalogram/magnetoencephalogram abnormal wave detection method and traceability positioning system, can solve problems that cannot be compared with artificial visual detection, and achieve auxiliary preoperative evaluation and get rid of Unreliable issues, the effect of streamlining the workflow
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[0038] In order to better illustrate the technical solution of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. In order to solve the above-mentioned existing technical problems, the present invention provides a method and system for automatic detection of epileptic EEG / MEG multi-view abnormal waves and traceability of epileptogenic foci based on deep learning, specifically comprising the following steps:
[0039] figure 1 The entire process from the complete multi-view abnormal wave automatic detection process to the source tracing and positioning process of the embodiment of the present invention is shown. Trace removal operation, including filtering, electrocardiogram, electrooculogram artifact removal, and normalization operation, and then the signal segmentation stage, that is, data segmentation of EEG / MEG data according to brain regions and specified time segment...
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