Sensor Data Display with Statistical Reliability Context
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Solution Overview
Problem
Current monitoring systems lack a mechanism to assess the accuracy and precision of biometric sensors, leading to inconsistent medical assessments and potential false alarms, as different sensors have varying statistical characteristics due to factors like age, ethnicity, and health status, and there is no standard way to differentiate their performance.
Innovation Solution
Displaying sensor metric data alongside sensor performance information, such as accuracy and probability distribution curves, on electronic devices like smartphones, allowing users to understand the reliability of the readings and making informed medical decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensor data is displayed without performance information, then the display is simple and easy to understand, but the user cannot judge the accuracy and reliability of the sensor readings
Solution Approach 1:
The patent segments the information display into distinct components: sensor metric data (e.g., blood pressure readings) and sensor performance information (e.g., accuracy metrics, probability distributions). This segmentation allows users to separately evaluate the measurement value and its reliability, resolving the contradiction by providing comprehensive accuracy assessment without creating a monolithic complex display interface.
Solution Approach 2:
The patent introduces probability distribution curves and statistical metrics as intermediary elements between the raw sensor data and the user's understanding of accuracy. These intermediaries translate complex sensor performance characteristics into visual representations that enhance accuracy assessment while maintaining display manageability through standardized graphical formats.
2Adaptability or versatility
If different biometric sensors are used for monitoring, then more sensor options are available, but the sensors have different statistical characteristics making assessments inconsistent
Solution Approach 1:
The patent changes the parameter representation by including sensor-specific statistical parameters (mean, standard deviation, probability distributions) alongside the primary metric readings. This allows the system to adapt to different sensor types while maintaining assessment consistency by accounting for each sensor's unique statistical characteristics through standardized statistical frameworks.
Solution Approach 2:
The patent creates a universal display framework that can accommodate multiple sensor types and their different statistical characteristics. The standardized presentation of performance information (probability distributions, accuracy metrics) works across diverse sensors, enabling both sensor versatility and assessment consistency by providing a common evaluation language for different measurement devices.
3Reliability
If sensor performance information is displayed with sensor data, then the reliability of biometric data is enhanced, but the information presentation becomes more complex
Solution Approach 1:
The patent adds a new dimension to data presentation by displaying sensor performance information in a visual format (probability distribution curves, graphical representations) rather than solely through numerical data. This dimensional transformation enhances data reliability communication while reducing information overload by converting complex statistical data into intuitive visual forms that convey multiple parameters simultaneously.
Data Source
AI summary
A client device includes a display and a processor configured to obtain a data stream from a remote sensor via a communication protocol. The remote sensor is a physiological sensor monitoring a subject and/or an environmental sensor monitoring an environment in a vicinity of the subject, and the data stream includes a sensor metric, a metric identifier, and dynamically updated integrity information about the sensor metric. The processor is also configured to identify a statistical distribution function associated with the remote sensor via a function selector associated with the communication protocol, and display, via the display, the sensor metric with statistical information about the sensor metric using the identified statistical distribution function.