Pulse Oximeter Accuracy Display via Confidence Intervals
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Solution Overview
Problem
Pulse oximeters lack the ability to effectively communicate the accuracy of measured physiological parameters, such as oxygen saturation, to users, which can lead to uncertainty in clinical decisions.
Innovation Solution
The system calculates and displays an estimated value of oxygen saturation along with statistical parameters like confidence intervals and accuracy, providing users with a graphical or numerical representation of the measurement's reliability, allowing for a better understanding of the data quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a pulse oximeter displays only the estimated oxygen saturation value, then the device is simple and easy to operate, but the user cannot understand the accuracy or reliability of the measurement
Solution Approach 1:
The patent segments the measurement information display into multiple components: the estimated oxygen saturation value, the accuracy indicator, and the confidence interval range. This segmentation allows each piece of information to be displayed separately and clearly, enabling users to understand both the measurement value and its reliability without overwhelming the user interface.
Solution Approach 2:
The patent adds a new dimension to the display by introducing visual indicators (such as bar lengths or graphical representations) that represent accuracy and confidence intervals. This transforms the abstract concept of measurement reliability into a visual dimension that users can immediately comprehend, complementing the numerical oxygen saturation value.
2Loss of information
If statistical parameters like confidence intervals are calculated and displayed, then the accuracy information is provided, but the device complexity increases
Solution Approach 1:
The patent extracts the essential accuracy information (confidence intervals and accuracy indicators) from the complex statistical calculations and presents it in a simplified visual format. By separating the complex calculation backend from the simple visual frontend, the system maintains computational accuracy while minimizing user-facing complexity.
Solution Approach 2:
The patent introduces an intermediary layer that translates complex statistical parameters into intuitive visual indicators. This intermediary processing layer handles the complexity of confidence interval calculations internally while presenting simplified visual representations to users, effectively mediating between complex computations and simple user understanding.
3Reliability
If the pulse oximeter provides detailed accuracy information, then clinical decision-making is improved, but the user interface becomes more complex and harder to interpret
Solution Approach 1:
The patent employs color changes and visual variations to encode different levels of measurement accuracy and confidence. By using intuitive color coding (such as green for high confidence, yellow for moderate, red for low confidence), the system conveys complex accuracy information through easily distinguishable visual cues that do not require detailed numerical analysis by the user.
Solution Approach 2:
The patent transforms numerical accuracy data into visual dimensions such as bar lengths, graphical indicators, or spatial representations. This dimensional transformation allows users to grasp measurement reliability at a glance through visual comparison rather than numerical analysis, maintaining interface simplicity while providing comprehensive accuracy information.
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 enhances user understanding of data reliability, enabling more informed clinical decisions by quantitatively depicting the likelihood of the measured oxygen saturation being above or below certain values, thus improving the accuracy and trustworthiness of pulse oximeter readings.
Implementation Method 1
Light, which may be produced by a light source integrated into the pulse oximeter, containing both red and infrared wavelengths is directed onto the skin of the patient and the light that passes through the skin is detected by the sensor. The intensity of light in each wavelength is measured by the sensor over time.
Implementation Method 2
The graph of light intensity versus time is referred to as the photoplethysmogram (PPG) or, more commonly, simply as the 'pleth.'
Data Source
AI summary
This disclosure describes systems and methods for displaying information that describes the accuracy of estimated values of physiological parameters. As part of the process of estimating a physiological parameter, the data used for the estimation are further analyzed to determine one or more statistical parameters indicative of the accuracy of the estimate. These statistical parameters are then displayed to the caregiver in order to provide the caregiver additional information concerning the estimated value. In the systems and methods described herein, one or more probability analyses are performed on the data used to generate the estimate of the physiological parameter. The analyses may include calculating the accuracy, confidence interval or some other statistical parameter representative of the accuracy of the estimate of the physiological parameter from the variations in the data An indication of the accuracy and/or an indication of the calculated probability may then be displayed to a caregiver or user.