Wearable Physiological Sensing for Objective Quality-of-Life Scoring
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for assessing health-related quality of life rely heavily on subjective human feedback, which can introduce variability and bias, and lack objective, automated systems for monitoring and improving physical health metrics.
Innovation Solution
A wearable medical system that includes sensors to collect data on physical activity, sleep, and vital signs, processing this data to generate objective health-related quality of life scores, and providing actionable insights to users or healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective human feedback is used to assess health-related quality of life, then the assessment can capture personal perceptions and experiences, but variability and bias are introduced into the results
Solution Approach 1:
The patent replaces subjective human assessment with automated electronic systems including wearables, sensors, and computing devices that objectively measure and process health data, eliminating human bias while maintaining assessment capability
Solution Approach 2:
The patent introduces intermediate processing layers including data normalization modules, algorithmic analysis systems, and computational algorithms that transform raw sensor data into standardized health-related quality of life scores, reducing variability in measurements
2Measurement precision
If multiple physiological parameters are monitored to improve assessment accuracy, then more comprehensive health insights are obtained, but the complexity of data collection and processing increases
Solution Approach 1:
The patent employs multi-functional wearables and sensors that simultaneously capture multiple physiological parameters (heart rate, activity, sleep, respiration) through integrated device architectures, reducing the need for separate specialized devices
Solution Approach 2:
The patent combines diverse sensor types and data sources into a unified monitoring system that processes multiple physiological parameters through centralized computing devices, simplifying data management while maintaining comprehensive measurement capability
Data Source
AI summary
In an example method, a computer system receives, from a wearable medical sensor, acceleration data indicating physical activity of a subject, activity classification data, sleep data, and one or more vital sign metrics. The system determines a physical activity score, a sleep score, and a vital signs score based on the acceleration data, the activity classification data, the sleep data, and the one or more vital sign metrics. The system determines a quality of life score for the subject based on the physical activity score, the sleep score, and the vital signs score; and the system causes the quality of life score to be presented to the subject using a display screen.