Key electrode contact identification and electrical stimulation control method based on high-frequency oscillation

Abstract

The invention discloses a key electrode contact identification and electrical stimulation control method based on high-frequency oscillation, and the contact identification method comprises the steps: firstly collecting SEEG electroencephalogram signals before and after epileptic seizure through an electrode contact network, and then carrying out the identification of a high-frequency oscillation signal in the SEEG electroencephalogram signals, extracting the high-frequency oscillation signal corresponding to each electrode contact, and finally, performing correlation analysis on the high-frequency oscillation signal corresponding to different electrode contacts before and after epileptic seizure to determine a key electrode contact for epilepsy monitoring, and the control method comprises the following steps: firstly, identifying the key electrode contact by adopting a contact identification method; and then monitoring the high-frequency oscillation signal of the key electrode contact in real time, finally judging whether electrical stimulation is needed or not based on the high-frequency oscillation signal of the key electrode contact, and controlling the key electrode contact to output an electric pulse in response to electrical stimulation.

Description

technical field [0001] The invention relates to the technical field of electroencephalogram analysis, in particular to a key electrode contact identification and electrical stimulation control method based on high-frequency oscillation. Background technique [0002] Epilepsy is a chronic disease in which the sudden abnormal discharge of brain neurons leads to transient brain dysfunction. It is the second most common disease of the nervous system. About 70% of epilepsy patients can be controlled by drugs, and the remaining patients are refractory to drugs. Sexual epilepsy requires surgical treatment, and the cure rate is about 40% to 90%. However, most patients are not suitable for surgical resection due to the limitations of current medical technology, the inability to accurately locate the preoperative assessment, or the location of the epileptogenic focus in an important functional area. Such patients need to rely on neural regulation to relieve seizures, so how to determ...

AI Technical Summary

Problems solved by technology

However, most patients are not suitable for surgical resection due to the limitations of current medical technology, the inability to accurately locate the preoperative assessment, or the location of the epileptogenic focus in an important functional area.

Images