Electric model for conducting cortex electroencephalogram into scalp electroencephalogram

Abstract

The invention discloses an electric model for conducting cortex electroencephalogram into scalp electroencephalogram. The electric model comprises a meninges network, a skull network, a scalp network,a recording electrode network and a reference electrode network, wherein the meninges network comprises a longitudinal meninges network and a transverse meninges network, and the input ends of the longitudinal meninges network and the transverse meninges network are connected with a cerebral cortex electroencephalogram signal ECoG; the skull network comprises a longitudinal skull network and a transverse skull network, and the input ends of the longitudinal skull network and the transverse skull network are connected with the output end of the longitudinal meninges network; the scalp networkcomprises a longitudinal scalp network and a transverse scalp network, and the input ends of the longitudinal scalp network and the transverse scalp network are connected with the output end of the longitudinal skull network; the input end of the recording electrode network is connected with the output end of the longitudinal scalp network; the input end of the reference electrode network is connected with the output ends of the transverse meninges network, the transverse skull network and the transverse scalp network; and the output ends of the recording electrode network and the reference electrode network form a differential scalp electroencephalogram signal. The model considers spatial ambiguity and anisotropy, and can conduct the ECoG signal into an EEG signal more accurately.

Description

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AI Technical Summary

Benefits of technology

The present inventor's new method uses signals from brain cells called cerebrum neurons that are connected through connections between them (electrodes) embedded within their skin). These electrode networks help create more accurate data about how well they function compared to previous methods such as those used for measuring blood flow velocity. By analyzing these signals over time it becomes possible to better identify areas where there may be problems related to sleep breathing caused due to factors like insomnia or other medical conditions affecting respiratory control systems.

Problems solved by technology

This patented technical problem addressed in the patents relates to converting cortically-generated electric fields generated during sleeping into scalpel ECG data for analysis purposes without assuming any consistency between these sources due to their shapes being nonuniformly distributed throughout them.

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