ECG ST-Segment Resolution Quantification
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Solution Overview
Problem
Current methods for quantifying and monitoring ST-segment resolution in electrocardiogram (ECG) signals are inefficient, particularly in clinical settings where timely and accurate detection of myocardial ischemia or infarction is crucial, often requiring manual calculations and potentially leading to missed acute changes.
Innovation Solution
An automated system that acquires ECG signals, determines baseline ST-segment values, and provides a user interface for displaying linear graphical trends and percent ST-segment resolution, with optional verbal annunciation of trigger events, allowing for dynamic monitoring and quick identification of significant changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If manual calculations are used for ST-segment measurement, then device complexity is reduced, but measurement precision and reliability deteriorate due to potential human error and inefficiency
Solution Approach 1:
The system automatically performs ST-segment measurements without requiring manual intervention. The processor autonomously identifies QRS complexes, determines J-points, calculates ST-segment values, and generates trend displays, eliminating human error while maintaining measurement precision through standardized automated algorithms
Solution Approach 2:
The patent replaces manual mechanical measurement methods with automated electronic processing. The system uses digital signal processing to detect ECG features, calculate ST-segment deviations, and generate graphical trends, substituting human operators with electronic algorithms that provide consistent, precise measurements
2Productivity
If automated processing is implemented, then productivity and measurement speed improve, but device complexity increases due to additional processing requirements
Solution Approach 1:
The processor performs multiple functions within a single integrated system: detecting QRS complexes, identifying J-points, measuring ST-segment values, calculating percent resolution, and generating graphical trends. This multi-functionality improves productivity while containing complexity within a single versatile processing unit
Solution Approach 2:
The system continuously monitors ST-segment values and provides real-time feedback through graphical trend displays and verbal annunciations. This feedback mechanism enables rapid detection of acute changes, improving clinical response time while using standardized processing algorithms that manage system complexity
3Loss of time
If real-time monitoring is provided, then loss of time is reduced for detecting acute changes, but device complexity increases due to continuous processing requirements
Solution Approach 1:
The system continuously processes ECG signals without interruption, constantly updating ST-segment measurements and graphical trends. This continuous operation eliminates detection delays, enabling immediate identification of acute changes while using efficient algorithms that manage processing complexity
Solution Approach 2:
Real-time feedback is provided through graphical trend displays and optional verbal annunciations of percent ST-segment resolution. This immediate feedback enables rapid clinical decision-making while using standardized processing methods that contain system complexity
Data Source
AI summary
Systems and methods are provided for quantifying and providing indicia of ST-segment resolution in an electrocardiogram (ECG) signal. A receiver acquires an electrocardiogram (ECG) signal that includes an ST-segment. A processor processes the ECG signal to determine values for the ST-segment deviation relative to an isoelectric baseline. A user is allowed to provide a baseline signal to the processor. The processor responds to the baseline signal by marking a baseline ST-segment value corresponding to a baseline time. A user interface displays a linear graphical trend of variations in the measured ST-segment values relative to the baseline ST-segment value. In certain embodiments, the processor detects user-selected trigger events such as post-intervention ST deviation relative to the baseline time and the baseline ST-segment value, and provides indicia of the trigger event. In addition, or in other embodiments, a verbal annunciation of a percent ST-segment resolution is provided.