EEG Data Processing System for Standardized Real-Time Control
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Solution Overview
Problem
Current solutions for managing, processing, and utilizing non-invasive electroencephalography (EEG) data lack standardization, making it difficult to effectively capture, process, and report brain wave activity.
Innovation Solution
A system and method that captures EEG data using wearable devices, processes it to determine user activity and status, and generates service responses for controlling systems such as ignition, locks, and operations by comparing the data against control data, utilizing a processor and memory with instructions for characterization, categorization, and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If EEG data is captured using wearable devices, then brain wave data can be effectively captured, but solutions for management, processing, and utilization of the data are limited or non-existent
Solution Approach 1:
The patent introduces an intermediary processing system that acts as a mediator between the EEG capture devices and the end applications. This intermediary system standardizes the data format and processing pipeline, making the complex EEG data manageable and usable without requiring complex integration at each endpoint.
Solution Approach 2:
The patent creates a universal processing framework that can handle multiple types of EEG data and support various applications through a single standardized system. This multi-functional approach allows the same infrastructure to serve diverse purposes (medical diagnostics, consumer applications, research) without requiring separate complex systems for each.
2Productivity
If EEG data is processed in real-time to generate service responses, then user activity and status can be determined, but standardization is lacking
Solution Approach 1:
The patent establishes standardized parameters and protocols for EEG data processing that can be consistently applied across different systems. By defining standard parameters for data collection, processing, and interpretation, the system achieves both real-time performance and reliability through consistent parameter usage across all processing operations.
3Adaptability or versatility
If EEG data is analyzed and compared against control data, then service responses can be generated to control systems, but the system complexity increases
Solution Approach 1:
The patent divides the complex processing system into segmented, modular components that can independently handle specific tasks (data acquisition, preprocessing, analysis, response generation). This segmentation reduces overall system complexity by allowing each module to be developed, tested, and maintained independently while working together to provide versatile service responses.
Data Source
AI summary
A method of processing EEG data. The EEG data from a user is captured utilizing one or more EEG devices worn by the user. The one or more EEG devices sense EEG data and biometrics of the user. User activity and a status of the user associated with the user is determined. The EEG data is analyzed. The EEG data is compared against control data. A service response is generated for one or more systems in communication with the one or more EEG devices to control the one or more systems.