Neurophysiological Control System Integrity Verification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current neurophysiological-based control systems lack periodic or continuous monitoring capabilities to verify system integrity, relying solely on impedance and electrical connectivity checks, which is insufficient to ensure proper operation and neural activity detection.
Innovation Solution
A method and system that generates a test stimulus to elicit a predetermined neurophysiological response, processes the response using EEG sensors and a processor, and compares it to a predetermined response to determine if the system is operating correctly, incorporating a test stimulus source, neurophysiological brain sensor, and processor to verify system integrity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If impedance and electrical connectivity checks are used to verify system operation, then the system can detect basic connectivity issues, but the system cannot verify proper neural activity detection or ensure complete system integrity
Solution Approach 1:
The system performs preliminary integrity verification by presenting test stimuli before actual neurophysiological monitoring begins. This preliminary action includes delivering known test patterns (such as visual flashes, auditory tones, or tactile stimuli) and verifying that the expected neural responses are detected, ensuring the system is fully operational before critical measurements commence
Solution Approach 2:
The system implements continuous feedback loops where neural responses to test stimuli are monitored in real-time and compared against expected response patterns. This feedback mechanism allows the system to automatically detect deviations indicating sensor malfunction, signal processing errors, or connectivity issues, and to alert operators or automatically adjust system parameters to maintain reliability
2Reliability
If continuous monitoring of system integrity is implemented, then the system can ensure proper operation, but the system complexity and resource requirements increase
Solution Approach 1:
The system achieves continuous monitoring without proportionally increasing complexity by making existing components multi-functional. The same EEG sensors used for neural activity detection are also used for integrity verification by analyzing their response to test stimuli. The signal processing chain handles both task-specific neural data and integrity verification data through unified algorithms, eliminating the need for separate dedicated verification hardware
Solution Approach 2:
The neurophysiological monitoring system performs self-verification by using its own sensors and processing chains to monitor its own operational integrity. The system presents test stimuli to itself and automatically analyzes the responses through its existing signal processing pathways, enabling autonomous health monitoring without requiring external verification equipment or additional complex infrastructure
3Reliability
If test stimuli are presented to verify system response, then the system can detect sensor and processing chain issues, but the user experience is interrupted
Solution Approach 1:
Instead of continuous test stimulus presentation that would constantly interrupt the user, the system implements periodic integrity verification at strategically chosen intervals. Test stimuli are delivered at predetermined time points or after specific durations of normal operation, balancing the need for reliability verification with minimal disruption to the user's natural tasks and experiences
Solution Approach 2:
The system performs partial integrity verification by selectively testing only critical system components or pathways at any given time, rather than comprehensively testing all sensors and processing channels simultaneously. This approach maintains adequate verification of system reliability while significantly reducing the frequency and duration of user-interrupting test presentations
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures the neurophysiological-based control system is functioning properly by continuously or periodically verifying the integrity of the sensor connection and signal processing chain, enhancing the reliability of neural activity detection and system operation.
Implementation Method 1
neurophysiological brain activity sensors, such as electroencephalogram (EEG) sensors, are disposed on a person
Data Source
AI summary
Methods and apparatus for verifying operability of a neurophysiological-based control system include generating a test stimulus that will result in a predetermined neurophysiological response in a user. Neurophysiological brain activity signals obtained from the user in response to the test stimulus are processed to generate a test neurophysiological response. The test neurophysiological response and a predetermined neurophysiological response are compared to determine if the neurophysiological-based control system is operating properly.