Physiological Aging Evaluation via Signal Complexity Analysis
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Solution Overview
Problem
Current methods for evaluating physiological aging levels are limited by the difficulty in accurately measuring pulse waveforms in daily life and the inability to assess overall aging states due to reliance on vascular elasticity information from topical body parts.
Innovation Solution
A method and apparatus that calculate complexity in physiological parameters such as heart rate, blood pressure, and pulse transit time using sensors and processors, determining aging levels based on complexity, variance, and relative ratios, and generating information on circadian rhythms to provide personalized life habit guidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vascular elasticity information is measured using PPG or SDPTG from a topical body part, then aging characteristics can be evaluated, but the evaluation is limited to topical areas and cannot assess the overall aging state
Solution Approach 1:
The patent applies multi-functionality by using a single wearable device to measure multiple physiological parameters (heart rate, respiratory rate, body temperature, activity level, sleep quality) that collectively contribute to overall aging assessment. This transforms the limitation of topical-only measurement into a comprehensive multi-parameter evaluation system that reflects systemic aging.
Solution Approach 2:
The patent transitions from single-dimension vascular elasticity measurement to multi-dimensional physiological parameter assessment. By incorporating temporal (24-hour monitoring), spatial (multiple body locations), and parameter diversity dimensions, the system achieves comprehensive aging evaluation that overcomes the局限性 of traditional topical PPG measurement.
2Measurement precision
If characteristic parameters such as incisura, reflected wave, and initial positive wave are collected from PPG or SDPTG, then aging characteristics can be accurately evaluated, but measuring accurate pulse waveforms in daily life is difficult
Solution Approach 1:
The patent implements self-service by using automated sensor-based measurement that requires minimal user intervention. The wearable device automatically collects physiological parameters throughout daily activities without requiring the user to manually operate equipment or maintain specific measurement conditions, making accurate aging assessment accessible in real-life settings.
Solution Approach 2:
The patent replaces complex mechanical pulse waveform measurement systems with electronic sensor-based physiological parameter detection. By substituting optical and electrical sensors for traditional mechanical sphygmomanometers and pulse wave analysis equipment, the system achieves accurate measurements that are far easier to perform during daily activities.
3Ease of operation
If physiological parameters are measured at specific time points, then measurement simplicity is maintained, but continuous monitoring of aging progression over time is limited
Solution Approach 1:
The patent implements continuous monitoring by having the wearable device collect physiological parameters continuously or at frequent intervals over extended periods (days, weeks, or months). This continuous data stream enables tracking of aging progression and temporal patterns in physiological parameters, transforming discrete time-point measurements into a continuous aging trajectory assessment.
Data Source
AI summary
A method of evaluating a physiological aging level includes calculating a complexity corresponding to a change pattern of a physiological parameter sensed from a user, and determining an aging level indicating a physiological change progress of the user based on the complexity.