Cardiac Arrhythmia Report Visualization for Clinical Interpretation
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Solution Overview
Problem
Current systems lack an effective method to present comprehensive and clear arrhythmia event information, such as atrial fibrillation data, in a way that is easily interpretable for medical practitioners, making it difficult to monitor and manage cardiac arrhythmia in patients.
Innovation Solution
A machine-implemented method and system that processes cardiac arrhythmia data to generate patient reports, including charts and statistical data, which visually represent the proportion of time spent in cardiac arrhythmia, providing detailed heart rate information and allowing for human assessment modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If comprehensive arrhythmia event information is collected and presented in detailed formats, then the information completeness is improved, but the interpretability and ease of understanding for medical practitioners deteriorates
Solution Approach 1:
The patent segments comprehensive arrhythmia data into distinct visual components: bar charts showing time proportions, line graphs displaying heart rate trends, and tabular summaries of statistical measures. This segmentation allows medical practitioners to access detailed information while maintaining ease of interpretation through organized, modular presentation.
Solution Approach 2:
The patent transforms complex temporal arrhythmia data into visual dimensions through graphical representations. Bar charts provide visual proportionality for time spent in arrhythmia states, while line graphs add temporal dimension to heart rate variations, making comprehensive data interpretable through spatial visualization rather than raw numerical tables.
2Measurement precision
If multiple parameters (total time, proportion in arrhythmia, heart rate statistics) are included in the report, then the measurement precision is improved, but the device complexity increases
Solution Approach 1:
The patent implements a multi-functional processing system that simultaneously calculates multiple parameters (total monitoring time, arrhythmia time proportions, heart rate statistics) through integrated algorithms. This universal approach maintains measurement precision across all parameters while reducing overall system complexity through consolidated processing rather than separate analysis modules.
Solution Approach 2:
The patent combines multiple statistical calculations and data processing functions into a unified report generation system. By merging heart rate analysis, arrhythmia detection, and time proportion calculations into a single integrated process, the system achieves high measurement precision without proportionally increasing device complexity.
3Ease of operation
If visual representations (charts, graphs) are added to the patient report, then the ease of interpretation is improved, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary calculations of key statistics (total time, arrhythmia proportions, heart rate averages) during the data collection phase, storing these pre-computed values for rapid report generation. This preliminary action reduces processing time during report creation while maintaining comprehensive visual representations.
Solution Approach 2:
The patent generates visual representations by creating simplified graphical copies of the underlying data structures. Rather than重新 processing raw data for each chart, the system uses pre-processed statistical copies to quickly render bar charts, line graphs, and summaries, reducing computational overhead while maintaining interpretability.
Data Source
AI summary
Systems, devices, methods, and techniques relating to generating and presenting information related to heart rate data. In one aspect, a system includes a monitoring device configured to obtain physiological data for a living being and to generate annotation data based on the physiological data for a total time period, a processing system configured to obtain the annotation data via a communication channel from the monitoring device and to generate for display based on the annotation data a daily patient report that includes, a chart showing summary statistical data for a proportion of a total monitored time period spent in cardiac arrhythmia for each of a plurality of days and summary statistical data for a proportion of the total monitored time period not spent in cardiac arrhythmia for each of the plurality of days.