Physiological Sensor Probe-Off Detection via Inverse Light Signal Effect
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Solution Overview
Problem
Current medical devices, such as pulse oximeters, face challenges in determining whether a physiological sensor is properly positioned on a subject, leading to inaccurate readings due to detachment or misalignment, which is not effectively addressed by existing technologies.
Innovation Solution
The system processes light signals to identify an inverse effect by comparing ambient and emitted photonic signals, using a metric-based calculation to determine if the sensor is properly positioned, and sets a flag when an inverse effect is detected, indicating a potential probe-off condition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the sensor is detached or misaligned from the subject, then the device becomes easier to remove or adjust, but the measurement precision deteriorates leading to inaccurate readings
Solution Approach 1:
The system continuously monitors light signal characteristics and provides feedback about sensor positioning status. By analyzing the relationship between ambient light signals and emitted photonic signals, the system detects when the sensor becomes detached or misaligned, allowing users to reposition the sensor to maintain measurement accuracy.
Solution Approach 2:
The system performs preliminary detection of sensor positioning status before taking measurements. By evaluating light signal characteristics in advance, the system can warn users of potential detachment or misalignment issues before they significantly degrade measurement precision, enabling proactive correction.
2Reliability
If the system continuously monitors sensor positioning using multiple signal processing methods, then the reliability of detection improves, but the device complexity increases
Solution Approach 1:
The system segments the light signal analysis into distinct components: ambient light signal processing, emitted photonic signal processing, and their difference signal processing. Each component is analyzed separately for specific characteristics, and the results are combined to make a comprehensive probe-off determination, improving reliability without overwhelming complexity.
Solution Approach 2:
The system applies multiple detection methods (ambient signal analysis, emitted signal analysis, difference signal analysis, inverse effect detection) that may seem excessive, but each method provides partial information that collectively ensures reliable probe-off detection. The redundant approaches compensate for limitations of individual methods.
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 allows for accurate detection of sensor misalignment, ensuring reliable physiological parameter measurements by distinguishing between proper and improper sensor positioning, thereby enhancing the reliability of medical device readings.
Implementation Method 1
A sensor may be used to emit a photonic signal and detect a light signal
Data Source
AI summary
A physiological monitoring system may determine a probe-off condition. A physiological sensor may receive a light signal including one or more wavelengths of light. The received light signal may be processed to obtain a light signal corresponding to an ambient light signal and a light signal corresponding to an emitted light signal and the ambient light signal. The signals may be analyzed to identify an inverse effect. The system may determine whether the physiological sensor is properly positioned based on the identification of an inverse effect.