Wrist Wearable Physiological State Descriptors for Actionable Health Guidance
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Solution Overview
Problem
Existing wearable devices provide overwhelming and confusing health information, leaving users uncertain about necessary actions, necessitating a need for actionable and easily understandable health insights.
Innovation Solution
Wearable devices monitor physiological parameters and compare them to baseline values to determine a qualitative descriptor, such as 'high', 'medium', or 'low', presenting this information without numeric scores, and suggest activities based on the user's physiological state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wearable devices provide detailed health information including numeric scores and multiple physiological parameters, then measurement precision and information completeness are improved, but ease of operation and user understanding deteriorate due to overwhelming and confusing data presentation
Solution Approach 1:
The patent transforms multiple physiological parameters (heart rate, heart rate variability, sleep data) into a single composite metric called 'fuel level' that ranges from 0-100. This parameter transformation consolidates complex health data into an easily interpretable single value that maintains measurement precision while dramatically improving ease of operation and user understanding.
Solution Approach 2:
The patent segments the continuous fuel level metric into discrete qualitative descriptors (e.g., 'low fuel', 'moderate fuel', 'high fuel') that are presented to users. This segmentation converts the complex continuous data into simple, actionable categories that are easy to understand and respond to, resolving the contradiction between information precision and user comprehension.
2Measurement precision
If wearable devices continuously monitor multiple physiological parameters, then measurement precision and health monitoring capability are improved, but device complexity increases
Solution Approach 1:
The patent merges multiple physiological parameter measurements (heart rate, heart rate variability, sleep duration, sleep quality) into a single integrated metric representing overall energy availability. This consolidation maintains the precision of individual parameter monitoring while reducing system complexity by presenting a unified fuel level metric rather than requiring users to interpret multiple separate measurements.
Solution Approach 2:
The fuel level metric serves multiple functions simultaneously: it integrates data from various physiological sensors, provides a simple status indicator, guides activity recommendations, and tracks overall health trends. This multi-functionality reduces device complexity by using a single metric to accomplish what would otherwise require multiple separate monitoring and display systems.
3Loss of information
If wearable devices present comprehensive health data with numeric scores, then information completeness is improved, but loss of information occurs due to user confusion and inability to extract actionable insights
Solution Approach 1:
The patent introduces the fuel level metric as an intermediary between raw physiological data and user decision-making. This intermediary translates complex numeric scores from multiple sensors into a single intuitive value that preserves all relevant health information while eliminating the confusion that causes information loss. The fuel level acts as a mediator that maintains information completeness while improving actionable insight extraction.
Solution Approach 2:
The patent changes the parameter representation from multiple separate numeric scores to a single composite fuel level metric with clear qualitative descriptors. This parameter transformation preserves the informational content of all underlying physiological measurements while presenting them in a format that eliminates user confusion and maximizes actionable insight extraction.
Data Source
AI summary
Systems and methods are provided for presenting a qualitative descriptor of a user's physiological state at a wrist-wearable device. The method includes monitoring, via one or more sensors, values for a plurality of physiological parameters for a user wearing the wrist-wearable device. The method includes comparing the values for the plurality of physiological parameters to baseline values for the physiological parameters. The baseline values are determined based on values for the plurality of physiological parameters that were measured over a predetermined period of time. The method includes, based on the comparison, determining a qualitative descriptor of the user's physiological state from among a set of three or more predefined qualitative descriptors. The method includes presenting, on a display that is in communication with the wrist-wearable device, the qualitative descriptor of the user's physiological state without displaying a numeric score representing the user's physiological state.