Weighted Hypoxemia Index for Standardized Health Risk Prediction

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods lack a standardized approach to quantify and compare hypoxemia across different clinical contexts, leading to inadequate assessment of its severity and consequences, which can result in adverse health outcomes and increased mortality.

Innovation Solution

A method and system for determining a weighted hypoxemia index by analyzing biological signals, identifying events based on threshold crossings, calculating areas under and above the threshold, applying weighted factors, and normalizing these values to derive a health metric, which can be used to assess health risks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If traditional hypoxemia measurement methods (SpO2, AHI, TST90, Min Sat) are used, then basic oxygen saturation data can be obtained, but there is no standardized method to quantify and compare hypoxemia severity across different clinical contexts

Engineering Contradiction:
Improveability to compare hypoxemia across clinical contextsVSAvoidquantification of hypoxemia severity
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent transforms raw SpO2 time-series data into a standardized hypoxemia severity score by changing parameters through mathematical operations. It calculates area under the curve (AUC), area above the curve (AAC), applies weighted factors based on event characteristics, and normalizes results to produce a dimensionless severity metric that can be compared across different clinical scenarios.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent segments the hypoxemia assessment into distinct components: identifying individual hypoxemic events through threshold crossings, calculating AUC and AAC for each event, determining weighted factors based on event characteristics, and aggregating results. This segmentation allows systematic processing of complex time-series data into a unified severity metric.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If multiple existing metrics (AHI, TST90, Min Sat) are used to assess hypoxemia, then various aspects of oxygenation can be measured, but the consequences and severity of hypoxemia cannot be standardized compared

Engineering Contradiction:
Improveassessment of hypoxemia consequencesVSAvoidstandardization across clinical scenarios
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The patent creates a universal hypoxemia severity scoring system that can be applied across multiple clinical contexts (sedation-related, postoperative, exercise-induced, nocturnal hypoxemia, etc.). The same algorithm processes different types of hypoxemic events and produces comparable severity scores, making the system multi-functional and adaptable to various scenarios.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent incorporates feedback mechanisms through weighted factors that adjust the severity score based on event characteristics such as duration, depth, and frequency of hypoxemia. This feedback loop ensures that the severity assessment reflects the actual clinical impact of different hypoxemic patterns.

Inventive Principle:
Principle #23Feedback

3Productivity

If simple threshold-based metrics (AHI counting events below 90%) are used, then calculation is straightforward, but the temporal dimension and severity of hypoxemia during sleep are not reflected

Engineering Contradiction:
Improveease of calculationVSAvoidtemporal dimension of hypoxemia
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent adds temporal and severity dimensions to the basic threshold-based counting approach. Instead of merely counting events, it calculates the area under the curve (AUC) and area above the curve (AAC) for each event, incorporating duration and depth of hypoxemia. This transforms a one-dimensional count into a multi-dimensional severity assessment that captures temporal characteristics.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

Data Source

PatentUS20260053446A1Methods and systems for predicting health risks
Publication Date: 2026.02.26 THE UNITED STATES OF AMERICA AS REPRESENTED BY THE DEPT OF VETERANS AFFAIRS
  • US20260053446A1 patent drawing
  • US20260053446A1 patent drawing
  • US20260053446A1 patent drawing

AI summary

Methods, systems, and apparatuses for determining a health metric and one or more health risks based on one or more biological events. Data indicative of one or more biological events may be determined based on a biological signal associated with an individual and a weighted factor may be determined for each biological event. The weighted factor may be applied to each biological event to determine one or more weighted biological events. A health metric may be determined based on the one or more weighted biological events. The health metric may be used to determine one or more health risks associated with the individual, wherein the individual may be treated based on the one or more health risks.