Physiological Metric Reliability Assessment Using Cross-Checked Signals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for estimating physiological and anatomical metrics, particularly ambulatory metrics, suffer from inaccuracies and lack the ability to reliably assess the reliability of these estimates, leading to potential errors in clinical decision-making and inappropriate health assessments.
Innovation Solution
A method and device that assess the reliability of estimated metrics by cross-checking different metrics using biomechanical and physiological boundaries, comparing them through a mathematical function, and determining a reliability rating based on these comparisons.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple sensors are used to collect physiological data, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system segments the assessment process into distinct modules: sensor data collection, reliability assessment module, and metric estimation. Each module handles specific tasks independently, managing complexity through functional segmentation while maintaining high measurement precision through multiple specialized sensors.
Solution Approach 2:
The reliability assessment module acts as an intermediary between the multiple sensors and the final metric estimation. It processes and evaluates sensor data reliability before passing information to the estimation module, thereby managing the complexity of integrating multiple sensor inputs while preserving measurement precision.
2Reliability
If sensor data reliability is assessed before metric estimation, then reliability of results is improved, but loss of time occurs due to additional processing
Solution Approach 1:
The system performs preliminary reliability assessment of sensor data before using it for metric estimation. By evaluating data quality and sensor reliability in advance, the system ensures more reliable final results while the modular design minimizes time loss through efficient preprocessing.
Solution Approach 2:
The reliability assessment and metric estimation processes operate in continuous sequence without interruption. The system maintains continuous monitoring and processing, where reliability assessment feeds directly into metric estimation, minimizing idle time while ensuring reliable results through continuous validation.
Data Source
Figure 1
Figure 2A~2F
Figure 3~4
AI summary
The present invention relates to a method, device and system for assessing reliability of an estimated metric relating to a physiological state of a user. The method comprises obtaining one or more sensor signals relating to the physiological state of the user, estimating independently from each other a first metric and a second metric using a different method and/or algorithm based on the one or more sensor signals, wherein the first metric is related to the second metric by a first mathematical function, determining a first value of the first mathematical function, comparing said first value to a bound of the first value, assessing a reliability rating for the estimation of the first metric and/or the second metric based on said comparison, and outputting the assessed reliability rating.