Dynamic ECG Display with Arrhythmia Indicia
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Solution Overview
Problem
Current systems for displaying ECG data to healthcare professionals rely on static, printed reports that are difficult to understand and review, leading to delayed or delegated analysis, and do not allow for real-time manipulation or visualization of the latest patient data.
Innovation Solution
A method and system for displaying ECG data that includes receiving and analyzing ECG waveforms to detect arrhythmic events, generating indicia for severity and recency, and classifying patients into groups based on these criteria, with dynamic visual representations such as changing size and color to prioritize recent and severe events, allowing for interactive review on handheld devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static printed reports are used to display ECG data, then the system is simple and easy to implement, but the review efficiency is low and data manipulation is difficult
Solution Approach 1:
The patent transforms static printed ECG reports into dynamic visual displays that automatically update in real-time. The system continuously monitors ECG data streams and dynamically adjusts the display to highlight recent and severe arrhythmic events, enabling physicians to efficiently review the latest patient information without manual intervention.
Solution Approach 2:
The patent creates a visual copy or representation of ECG data through graphical icons and color-coded indicators that mirror the underlying physiological information. These visual copies allow physicians to quickly grasp complex ECG patterns and arrhythmic events without interpreting raw waveforms, significantly improving review speed while maintaining diagnostic accuracy.
2Reliability
If all ECG data is transmitted to remote monitoring center, then complete data is available for analysis, but wireless channels are congested and computational resources are heavily required
Solution Approach 1:
The patent extracts and transmits only the most clinically relevant ECG information to the remote monitoring center. By identifying and prioritizing severe arrhythmic events based on predefined criteria, the system sends only critical data for remote analysis, reducing wireless channel congestion and computational burden while maintaining reliable detection of significant cardiac conditions.
Solution Approach 2:
The patent implements local preprocessing and filtering of ECG data at the patient monitoring device before transmission. Different portions of ECG data receive different treatment based on their clinical significance: critical events are flagged and transmitted immediately, while normal or less significant data is filtered out or processed locally, optimizing wireless channel usage and energy efficiency.
3Loss of time
If automatic ECG analysis is performed in the device, then timely detection is achieved, but computational resources and battery power are significantly consumed
Solution Approach 1:
The patent applies partial automatic analysis by implementing a two-tier detection system. A first level of simplified algorithms continuously monitors ECG data with minimal energy consumption to detect obvious arrhythmic events. More comprehensive analysis is performed only when needed, balancing detection thoroughness with battery conservation to achieve timely detection without excessive power consumption.
Data Source
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AI summary
A method is disclosed for displaying patient ECG data. The method includes receiving ECG data including an ECG waveform; receiving analyzed ECG data including arrhythmic events; generating an indicia of the detected arrhythmic event; and displaying the indicia of the detected arrhythmic event in relation to the ECG waveform at a position associated with a time of the detected arrhythmic event. A system for displaying patient ECG data is also disclosed.