ECG Analysis Discounting CPR Transition Signals
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current defibrillation technologies face challenges in administering timely electrical shocks during Ventricular Fibrillation, as existing systems struggle to accurately discern ECG signals during chest compressions and ventilation pauses, leading to delayed interventions and reduced survival rates.
Innovation Solution
The development of medical devices and software that analyze ECG data by discounting signals during transitions between chest compressions and ventilation pauses, using coefficient-based filtering and processing to improve the decision-making for administering electrical shocks or CPR, thereby enhancing patient outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If ECG data is continuously monitored during CPR transitions, then detection accuracy is improved, but false alarms and misinterpretation increase due to signal artifacts from chest compressions
Solution Approach 1:
The patent segments the ECG analysis by identifying and separating transition periods between chest compression groups. ECG data collected during these transition periods is excluded from analysis, while only ECG data from stable compression periods is used for rhythm detection and defibrillation decisions. This segmentation eliminates artifacts caused by chest compression movements and ventilation pauses, resolving the contradiction between continuous monitoring and signal accuracy.
2Measurement precision
If defibrillation is delayed to ensure accurate ECG analysis, then measurement precision is improved, but survival rate decreases due to time loss
Solution Approach 1:
The patent implements preliminary action by continuously monitoring ECG data during stable compression periods and pre-identifying ventricular fibrillation rhythms before transition periods occur. The system maintains a buffer of valid ECG data and can immediately make defibrillation decisions based on pre-analyzed rhythms, eliminating the need to wait for transition periods to end. This approach ensures both accurate detection and rapid response, resolving the time-precision contradiction.
3Quantity of substance
If ECG data from transition periods is included in analysis, then data quantity increases, but signal quality decreases due to motion artifacts
Solution Approach 1:
The patent extracts and removes ECG data collected during transition periods between chest compression groups. By identifying transition periods through motion sensors or impedance changes and excluding this contaminated data, the system maintains high signal quality while still accumulating sufficient valid ECG data from stable compression periods for accurate rhythm analysis. This extraction approach resolves the contradiction between data quantity and signal quality.
Data Source
AI summary
Medical devices, software and methods are provided, for making a decision as to whether to administer electric shock therapy to a patient. The decision is made with respect to ECG data that is discounted at least partially, and sometimes even completely, if it occurs during a transition between chest compression group and a pause for ventilation.