Health Risk Assessment Using Binary Signal Templates
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Solution Overview
Problem
Existing methods for assessing human health risks from wearable devices are limited in versatility and reliability, as they often require specific types of sensors and signals, and do not provide a detailed enough assessment of health risks.
Innovation Solution
The method prepares a series of templates with critical parameter values and temporal characteristics, converting signals from wearable devices into binary form to compare and identify health risks, allowing for the assessment of various functional parameters and determining the presence of health risks based on temporal and periodic coincidences of threshold exceedances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing methods use specific sensor types and signal processing approaches, then they can achieve health risk assessment, but they are limited in versatility and cannot handle heterogeneous signals from different wearable devices
Solution Approach 1:
The patent transforms continuous physiological signals into binary signals by applying threshold values, converting analog data into discrete states (exceeded/not exceeded). This parameter transformation enables universal processing of heterogeneous signals from different wearable devices while maintaining assessment reliability through configurable threshold parameters for each critical value
Solution Approach 2:
The patent creates a universal template structure that can process multiple types of physiological parameters (heart rate, blood pressure, oxygen saturation, etc.) from different wearable devices. Each template contains configurable critical values and time window parameters that adapt to different sensor types, enabling the same assessment framework to handle diverse heterogeneous signals reliably
2Measurement precision
If the method uses detailed analysis of multiple functional parameters, then it provides accurate health risk assessment, but it increases the complexity of signal processing and template configuration
Solution Approach 1:
The patent segments the health risk assessment into multiple independent templates, each focusing on specific critical values and time windows for particular physiological parameters. This segmentation allows detailed analysis of multiple functional parameters while managing complexity through modular template structures that can be configured and processed independently
Solution Approach 2:
The patent introduces binary signals as an intermediary layer between raw physiological data and final risk assessment. This intermediate representation simplifies complex multi-parameter analysis by reducing continuous signals to discrete exceeded/not exceeded states, making the system easier to process while maintaining measurement precision through configurable thresholds
3Productivity
If the method converts signals to binary form and compares them against templates, then it improves processing efficiency, but it may lose information about the magnitude and duration of parameter exceedances
Solution Approach 1:
The patent applies periodic sampling within configured time windows to detect parameter exceedances. By checking whether critical values are exceeded at regular intervals within specified time periods, the system maintains processing efficiency while capturing temporal patterns of physiological events that would indicate health risks
Solution Approach 2:
The patent performs preliminary configuration of templates with critical values and time window parameters before signal processing. This preliminary setup establishes the assessment criteria in advance, enabling efficient real-time binary conversion and comparison operations while preserving clinically relevant information about parameter thresholds and observation periods
Data Source
AI summary
The invention relates to systems for diagnosing human condition obtained by a personal device worn by a subject. The technical effect is a greater versatility in assessing risks, and a greater reliability and efficiency of health risk assessment. According to the invention, a series of templates are preliminarily prepared, including a set of interrelated critical parameter values and temporal characteristics thereof. Signals are received from at least one wearable personal device, each of the received signals is converted into a binary signal, wherein the signal is given a value of “1” if the signal exceeds a threshold of a critical parameter value which is stored in one of the plurality of pre-prepared templates, and a value of “0” if not. The binary signals are then compared with each other and, if the values of “1” temporally coincide among the set of signals, a decision is made about the presence of certain health risks.