Heart-Rate Interval Analysis for Comparable State Determination
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Solution Overview
Problem
Existing methods struggle to accurately determine state information, such as neurohormonal activity, in subjects due to the influence of factors like circadian rhythm, sleep status, and medication, making it difficult to use heart rate and heart rate variability as reliable indicators.
Innovation Solution
A state information determination method that utilizes a state evaluation parameter, including heart-rate and heart-rate variability characterization parameters, determined over specific time intervals to improve accuracy and comparability of state information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If heart rate and heart rate variability are used to determine state information, then the measurement process is simple, but the accuracy and reliability are poor due to influences from circadian rhythm, sleep status, and medication
Solution Approach 1:
The patent segments the measurement process into multiple components: separating circadian rhythm assessment from state information determination, dividing the analysis into daytime and nighttime periods, and isolating different physiological parameters (heart rate, heart rate variability, respiratory rate, respiratory variation) for independent analysis. This segmentation allows each parameter to be evaluated in context, reducing cross-contamination of influences and improving overall measurement accuracy.
Solution Approach 2:
The patent introduces circadian rhythm as an intermediary factor that must be accounted for before determining state information. By first assessing whether the subject is in a circadian rhythm state and using this information as a mediator variable, the system can adjust heart rate and heart rate variability measurements to compensate for circadian influences, thereby improving state information accuracy without complicating the basic measurement process.
2Productivity
If state information is determined based on single-time-point heart rate measurements, then the determination process is fast, but the comparability across different time points is poor
Solution Approach 1:
The patent performs preliminary actions by establishing baseline circadian rhythm characteristics and normal reference ranges before actual state information determination. These pre-established references serve as comparators that enable rapid yet accurate assessment of current state information, maintaining both speed and reliability through pre-computed reference frameworks.
Solution Approach 2:
The patent dynamically adjusts the determination process based on the subject's circadian state and time of day. The system adapts reference values and analysis parameters according to whether the subject is in daytime or nighttime circadian phases, allowing fast determination while maintaining comparability through dynamic reference adjustment rather than static thresholds.
Data Source
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AI summary
Disclosed are a state information determination method and device, and a control method and device, which relate to the field of medical data processing technologies. The state information determination method includes: determining (S100), based on a preset analysis time interval, a state evaluation parameter corresponding to a subject to be tested; and determining (S200), based on the state evaluation parameter, first state information corresponding to the subject to be tested. The state evaluation parameter includes at least one of a first heart-rate characterization parameter, a first heart-rate variability characterization parameter, a second heart-rate characterization parameter, and a second heart-rate variability characterization parameter. The first heart-rate characterization parameter and the first heart-rate variability characterization parameter correspond to a first time interval, and the second heart-rate characterization parameter and the second heart-rate variability characterization parameter correspond to a second time interval. Accuracy and comparability at different times of determined first state information are improved, thereby providing favorable conditions for assisting in determining a disease state of a subject to be tested and assisting in predicting progress and other situations on the basis of the determined first state information.