EEG Disturbance Detection With Real-Time User Feedback
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Solution Overview
Problem
Existing electroencephalography (EEG) measurements are often contaminated by movement and eye artifacts due to subject movements, which distort the brain signal and reduce the accuracy of the recordings.
Innovation Solution
An apparatus and method that uses interface and processing circuitry to detect potential disturbances in EEG measurements by analyzing sensor data from accelerometers, gyroscopes, cameras, and humidity sensors, and informs the user through visual, auditory, or tactile outputs to mitigate these disturbances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the subject restrains movements and eye movements during EEG recording, then movement artifacts and eye artifacts are minimized, but the ease of operation and comfort of the subject is reduced
Solution Approach 1:
The system provides real-time feedback to the subject about their movement level and artifact presence through visual, auditory, or tactile outputs. This feedback loop allows the subject to understand the impact of their movements on the EEG measurement and adjust their behavior accordingly, improving measurement accuracy without requiring strict restraint that would compromise comfort.
Solution Approach 2:
The system detects movement and artifact conditions before they significantly impact the EEG measurement by continuously monitoring sensor data. By providing advance warning through outputs to the subject, the system enables preliminary corrective action, allowing the subject to adjust their posture or eye position before artifacts contaminate the brain signal, thus maintaining both accuracy and comfort.
2Reliability
If multiple sensors and monitoring systems are added to detect disturbances, then the ability to detect and correct artifacts is improved, but the device complexity increases
Solution Approach 1:
The system uses a multi-functional approach where a single integrated platform performs multiple tasks: EEG signal acquisition, movement detection, artifact monitoring, real-time analysis, and subject feedback. By combining these functions into one cohesive system rather than separate devices, the patent improves reliability through comprehensive monitoring while avoiding the complexity of multiple independent systems.
Solution Approach 2:
The patent merges various sensing functions (accelerometers, gyroscopes, EEG electrodes, humidity sensors) and processing functions into a unified system. The processing circuitry integrates signal processing, movement analysis, artifact detection, and feedback generation in a single platform, reducing overall system complexity while maintaining high reliability through comprehensive disturbance detection.
Data Source
AI summary
An apparatus (30) for controlling an electroencephalography, EEG, measurement, comprises interface circuitry (32) configured to receive an input signal comprising information indicative of a behavior of a user based on an output signal of a sensor. Further, the apparatus (30) comprises processing circuitry (34) configured to detect a possible disturbance of the EEG measurement based on the received input signal and to trigger an output to the user to inform the user about the possible disturbance of the EEG measurement.