Physiological Information Processing Abnormality Index
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Solution Overview
Problem
Existing physiological information processing apparatuses struggle to accurately diagnose abnormalities in autonomic nerve function, particularly for inexperienced medical professionals, as they rely on visual interpretation of trend graphs which can be complex and difficult to interpret.
Innovation Solution
A computer-based system that acquires physiological data, calculates parameter values related to autonomic nerve function, generates abnormality index values, and displays this information intuitively through trend graphs and radar charts to facilitate easier diagnosis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If trend graphs indicating changes in autonomic nerve function parameters are displayed for visual interpretation, then diagnostic information is provided, but the complexity of interpretation increases and accuracy decreases for inexperienced medical professionals
Solution Approach 1:
The patent introduces an abnormality index as an intermediary between the complex trend graphs and the medical professional's diagnosis. The abnormality index synthesizes multiple parameters (HF, LF, LF/HF ratios) into a single intuitive metric that indicates the degree of autonomic nerve dysfunction, making the diagnostic process accessible to inexperienced professionals while preserving the full diagnostic information in the underlying trend graphs
Solution Approach 2:
The patent transforms multiple complex parameters (heart rate variability components HF and LF, their ratios LF/HF) into a simplified abnormality index parameter. This parameter transformation converts difficult-to-interpret frequency domain data into an intuitive single-value metric that directly indicates disease extent, resolving the contradiction between information completeness and interpretability
2Reliability
If detailed parameter values and trend graphs are provided, then complete diagnostic data is available, but the device complexity and information processing requirements increase
Solution Approach 1:
The patent extracts the essential diagnostic information from complex trend graphs by calculating an abnormality index that represents the core diagnostic value. This extraction process separates the critical diagnostic metric from the detailed parameter data, maintaining diagnostic reliability while reducing the complexity of information presentation and processing
Data Source
AI summary
A physiological information processing apparatus including: a processor; and a memory that stores a computer-readable command. When the computer-readable command is executed by the processor, the physiological information processing apparatus acquires physiological information data indicating physiological information of a subject, acquires a value of a parameter relevant to an autonomic nerve function of the subject in each of first time intervals based on the physiological information data, acquires an abnormality index value indicating an extent of abnormality in the autonomic nerve function of the subject based on the values of the parameter acquired in the first time intervals respectively, and displays information relevant to the abnormality index value.