RR Interval Plotting for Arrhythmia Verification
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Solution Overview
Problem
Existing physiological information processing apparatuses face challenges in accurately identifying and removing RR intervals indicative of arrhythmia from RR interval data, leading to unreliable spectrum analysis results and user anxiety regarding automated processing reliability.
Innovation Solution
A physiological information processing apparatus and method that displays RR interval data as plotted points on a two-dimensional coordinate system, allowing users to visually differentiate arrhythmia points from others, and provides trend graphs for autonomic nerve function parameters, enhancing usability and reliability by allowing manual verification and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automatic processing is used to identify and remove arrhythmia RR intervals, then the spectrum analysis accuracy is improved, but the user trust in the processing reliability deteriorates because the automatic processing cannot be visually confirmed
Solution Approach 1:
The system provides visual feedback by displaying the RR interval data as plotted points on a two-dimensional coordinate system, allowing users to see the results of automatic arrhythmia identification. This feedback mechanism enables users to verify the processing reliability while maintaining the benefits of automatic processing.
Solution Approach 2:
The two-dimensional coordinate system plot serves as an intermediary between the automatic processing system and the user. It translates the abstract automatic processing results into a visual format that users can interpret, building trust while preserving measurement precision.
2Productivity
If RR interval data including arrhythmia is used for spectrum analysis, then the analysis can be performed on all data, but the accuracy of autonomic nerve function assessment deteriorates
Solution Approach 1:
The system extracts and removes arrhythmia RR intervals from the dataset before performing spectrum analysis. By separating the harmful data (arrhythmia intervals) from the useful data (normal intervals), the system maintains high data utilization while ensuring measurement precision.
Solution Approach 2:
The RR interval data is segmented into two categories: those indicative of arrhythmia and those that are not. This segmentation allows the system to process only the relevant data for autonomic nerve function assessment, improving accuracy while maintaining productivity through efficient data filtering.
3Ease of operation
If visual display of RR interval data with differentiated arrhythmia points is provided, then user verification capability is improved, but the device complexity increases
Solution Approach 1:
The system uses color changes to differentiate arrhythmia RR intervals from normal intervals on the plot. By assigning distinct colors to different data types, the system provides clear visual verification capability without requiring complex display mechanisms, thus improving ease of operation while minimizing device complexity.
Data Source
AI summary
A physiological information processing apparatus includes a processor and a memory storing computer-readable instructions. When the computer-readable instructions are executed by the processor, the apparatus obtains physiological information data indicative of physiological information of a subject, obtains RR interval data including a plurality of RR intervals based on the physiological information data, identifies an RR interval indicative of arrhythmia, and displays the RR interval data as plotted points on a two-dimensional coordinate system having one axis representing an n-th RR interval and another axis representing an (n+1)-th RR interval. The RR interval data is displayed on the two-dimensional coordinate system such that a visual mode of a plurality of first plotted points associated with the RR interval indicative of arrhythmia and a visual mode of plotted points of the RR interval data other than the plurality of first plotted points are different from each other.