Continuous Stress Assessment via Automatic Orthostatic HRV Detection
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Solution Overview
Problem
Conventional methods for measuring orthostatic heart rate (HR) and heart rate variability (HRV) are cumbersome and require users to follow specific protocols, making it difficult to collect continuous data in real-life situations, especially for individuals with busy schedules, leading to incomplete or inaccurate stress level assessments.
Innovation Solution
A device and method that continuously measure HR and HRV without requiring users to follow specific protocols, automatically detecting activity levels and provocation intensity, allowing for continuous data collection and stress level estimation based on predetermined algorithms, enabling accurate chronic stress assessment and reducing the burden on users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional methods for measuring orthostatic HR and HRV are used, then measurement protocols can be followed, but the methods are cumbersome and require users to follow specific protocols, making it difficult to collect continuous data in real-life situations
Solution Approach 1:
The system automatically detects activity levels and provocation intensity without requiring user intervention. The processor autonomously determines when orthostatic tests should be performed based on detected activity patterns, and automatically collects HR and HRV data during these events, eliminating the need for users to manually follow measurement protocols.
Solution Approach 2:
The system continuously monitors activity levels and pre-identifies suitable moments for orthostatic testing based on detected activity patterns. By predicting optimal measurement timing in advance and automatically initiating data collection during these predetermined windows, the system ensures accurate stress assessment without requiring real-time user decision-making or protocol adherence.
2Reliability
If conventional methods are used, then specific protocol measurements can be obtained, but continuous data collection in real-life situations is difficult, leading to incomplete or inaccurate stress level assessments
Solution Approach 1:
The system integrates multiple functions into a single wearable device: activity level detection, provocation intensity detection, HR measurement, HRV calculation, and automatic orthostatic test initiation. This multi-functional integration allows continuous monitoring and reliable stress assessment without requiring separate devices or complex coordinated systems.
Solution Approach 2:
The system continuously monitors activity levels and HR data, using this feedback to automatically determine when orthostatic testing conditions are met. The processor adjusts data collection timing based on real-time detection of activity patterns and provocation events, ensuring complete stress assessment while adapting to the user's natural behavior patterns.
3Measurement precision
If multiple orthostatic tests are required for accurate assessment, then stress level precision improves, but the need for multiple tests increases user burden and reduces convenience
Solution Approach 1:
The system performs HR and activity level measurements continuously in the background without interrupting the user's daily activities. Multiple orthostatic tests are automatically conducted during natural activity transitions (e.g., when the user stands up), accumulating stress assessment data over time without requiring dedicated test sessions or user time investment.
Solution Approach 2:
The system pre-identifies multiple suitable measurement opportunities based on detected activity patterns and automatically collects data during these predetermined windows. By planning and executing multiple assessments in advance during natural activity transitions, the system achieves high measurement precision without requiring the user to allocate specific time for multiple formal tests.
Data Source
AI summary
A method for measuring stress based on the heart rate (HR), the heart rate variability (HRV), and the activity level of a user includes recording the HR, the HRV, and the activity level of a user at various times during the day. Thereafter, the three values are correlated to arrive at a stress level of the user. The stress level is estimated based on a predetermined set of algorithms and analysis methods. The physical disposition and the activity levels of the user are automatically detected and the vital parameters, i.e., the HR and the HRV recorded at times that are deemed fit for conducting orthostatic tests.