EEG-Based Brain Stimulation Apparatus for Anesthetic Monitoring
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Solution Overview
Problem
Current methods for monitoring and treating brain dysfunction following injuries like cardiac arrest or stroke lack real-time monitoring and adaptive treatment adjustments, making it challenging to assess and manage brain function effectively during therapeutic interventions.
Innovation Solution
An apparatus comprising a data processing unit and a stimulator that uses electroencephalographic data to determine deviations from normal brain function, selects appropriate stimulation based on these deviations, and adjusts the administration of anesthetic drug substances to modify brain function towards normalcy, incorporating magnetic, electric, acoustic, or chemical stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time monitoring and adaptive treatment adjustments are implemented, then brain function assessment accuracy is improved, but device complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: EEG signal acquisition module, real-time processing module, analysis module, and stimulation module. Each module performs a specific function, allowing the complex system to be managed through modular components that can be independently optimized and maintained.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring EEG signals, analyzing brain function deviations, and automatically adjusting stimulation parameters in real-time. This feedback mechanism enables adaptive treatment adjustments that improve assessment accuracy while automating the complexity management.
2Adaptability or versatility
If multiple stimulation types (magnetic, electric, acoustic, chemical) are integrated, then adaptability of treatment is improved, but device complexity increases
Solution Approach 1:
The system is designed with multi-functional capability to deliver multiple stimulation types (magnetic, electric, acoustic, and chemical) through a unified platform. The data processing unit can select and coordinate different stimulation modalities based on real-time brain function assessment, providing versatile treatment options without requiring separate independent systems.
3Reliability
If continuous real-time monitoring is performed, then reliability of treatment adjustment is improved, but energy consumption increases
Solution Approach 1:
The system maintains continuous real-time monitoring of EEG signals to ensure reliable treatment adjustment. The continuous data stream from the EEG acquisition module is processed without interruption, allowing the system to detect and respond to brain function changes immediately, thereby maintaining high reliability throughout the treatment period.
Data Source
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AI summary
An apparatus comprises a data processing unit (100) and a stimulator (112). The data processing unit (100) receives first electroencephalographic data based on a measurement of a brain of a person (108) exposed to one or more estimated or measured non-zero amounts of anesthetic drug substance. The data processing unit (100) performs a first comparison between the first electroencephalographic data and corresponding data of a reference brain function, and outputs information about the first comparison. The stimulator (112) provides the brain of the person (108) exposed to the anesthetic drug substance with brain stimulation on the basis of a direct or indirect reception of the information about the first comparison.