ECG Sensor Array Cognitive State Monitoring via Signal-to-Noise Analysis
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Solution Overview
Problem
Existing systems for monitoring cognitive states in individuals, such as aircraft pilots and vehicle drivers, often rely on single bio-signal recordings and are prone to partial or complete loss of function, necessitating a method that measures cognitive state based on multiple bio-signals from a single sensor.
Innovation Solution
An array of ECG sensors measures ECG voltage and signal-to-noise ratios, generating a graphical distance and pressure map to determine cognitive state, which is continually analyzed by a microprocessor to assess the individual's alertness and movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single type of bio-signal sensor is used to monitor cognitive state, then the system is simpler, but the system is prone to partial or complete loss of function
Solution Approach 1:
The ECG sensor array is designed to perform multiple functions: primary ECG voltage measurement and secondary measurement of signal-to-noise ratio. The same physical sensors serve dual purposes, extracting both physiological information and contact quality metrics without requiring separate sensor systems, thereby improving reliability while maintaining relatively simple device architecture
2Reliability
If multiple types of bio-signals are measured to improve cognitive state monitoring reliability, then the system becomes more complex, but single-sensor systems are simpler
Solution Approach 1:
The monitoring system is segmented into multiple ECG sensors arranged in an array, where each sensor independently measures local ECG voltage and signal-to-noise ratio. This segmentation allows the system to capture spatial variations in contact quality and physiological signals, improving overall monitoring reliability through distributed measurement points
Solution Approach 2:
Each ECG sensor in the array serves multiple functions: measuring ECG voltage for cardiac monitoring and simultaneously measuring signal-to-noise ratio for contact quality assessment. This multi-functionality enables the system to derive multiple types of information from a single sensor type, improving reliability without proportionally increasing device complexity
3Measurement precision
If signal-to-noise ratio is used to detect contact quality and cognitive state, then measurement precision improves, but the difficulty of detecting and measuring increases
Solution Approach 1:
The ECG sensor system performs self-diagnosis by using its own output signals to assess contact quality. The signal-to-noise ratio is calculated from the ECG sensor's own voltage measurement and associated noise, allowing the system to automatically evaluate its own measurement reliability without requiring external calibration or separate sensing mechanisms
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
This approach provides a comprehensive and reliable monitoring system capable of detecting fatigue, drowsiness, and stress by analyzing the combined signal-to-noise ratios from multiple ECG sensors, ensuring alertness in critical jobs.
Implementation Method 1
an array of electrocardiogram (ECG) sensors placed in contact with the individual, where the ECG sensors continually measuring the ECG voltage and related signal-to-noise ratio
Data Source
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AI summary
A method and system are provided for measuring the cognitive state of an individual by combining analysis of 2 independent quantities derived from a single sensor. The method comprises placing an array of electrocardiogram (ECG) sensors in contact with the individual. The sensors continually measure the ECG voltages and signal-to-noise ratios from each ECG. A distance to sensor and pressure applied to sensor our calculated for each ECG sensor that corresponds to the ECG voltage and signal-to-noise ratio measurements from each respective ECG sensor. Next, a graphical distance and pressure map is generated based on the combined signal-to-noise ratios of the ECG sensors and continually analyzed to determine the cognitive state of the individual.