Epilepsy magnetoencephalogram spinous wave automatic detection method and traceability positioning system

Abstract

The invention discloses an epilepsy magnetoencephalogram spinous wave automatic detection method and a traceability positioning system. The method comprises the following steps: 1) segmenting magnetoencephalogram data of each sample to obtain a plurality of magnetoencephalogram data segments; wherein each magnetoencephalogram data segment is a data set in the form of a two-dimensional matrix withthe size of M * N; 2) training a magnetoencephalogram multi-view spine wave detection model by using the magnetoencephalogram data segment; 3) performing artifact removal operation on the magnetoencephalogram signal to be processed, and then segmenting magnetoencephalogram data to obtain a plurality of magnetoencephalogram data segments; 4) respectively inputting the obtained magnetoencephalogramdata fragments into the trained magnetoencephalogram multi-view ratchet detection model to obtain ratchet classification results corresponding to the magnetoencephalogram data fragments; and 5) determining whether the to-be-processed magnetoencephalogram signal has the ratchet wave or not according to the obtained ratchet wave classification result. According to the invention, the working processof a doctor is simplified, and the doctor can be effectively assisted in carrying out preoperative evaluation on an epilepsy patient.

Description

technical field [0001] The invention belongs to the field of magnetoencephalogram signal recognition in the field of biometric feature recognition, and specifically relates to a deep learning-based multi-view spike detection method and traceability positioning system for epilepsy magnetoencephalogram. Background technique [0002] As one of the most common neurological brain diseases, epilepsy caused by recurrent seizures affects about 1% of the world's population, and almost 30% to 40% of patients do not respond to drugs, which has a significant impact on their physical, mental and social health. negative impact. Surgery is an effective treatment for patients with drug-resistant epilepsy, and the key lies in identifying the brain region (epileptic zone) that produces the seizure. Epileptic spikes are a widely accepted canonical biomarker for identifying epileptic zones. Therefore, spike analysis can be used in the preoperative evaluation of patients with epilepsy. [000...

AI Technical Summary

Problems solved by technology

Despite great success, in clinical practice, none of the methods proposed so far can compare favorably with human visual inspection, i.e., routine detection of MEG signals or by human visual inspection.

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