Wearable Defibrillator QRS Width Heart Rate Plotting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wearable cardioverter defibrillators (WCDs) lack advanced diagnostic capabilities, limiting their ability to provide comprehensive patient monitoring and analysis.
Innovation Solution
A WCD system equipped with a support structure, sensors for acquiring patient physiological signals, and a processor that determines diagnostics such as ECG portions, heart rate histograms, trends, and clinical event counters, with a user interface for displaying these diagnostics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a WCD system includes comprehensive diagnostic capabilities (ECG analysis, heart rate monitoring, arrhythmia detection), then patient monitoring quality is improved, but device complexity increases
Solution Approach 1:
The diagnostic system is divided into separate functional modules: ECG signal acquisition module, heart rate analysis module, arrhythmia detection module, and diagnostic display module. Each module processes specific aspects of cardiac data independently, allowing comprehensive monitoring while maintaining manageable system architecture through functional separation.
Solution Approach 2:
The WCD system integrates multiple diagnostic functions into a single wearable device that can simultaneously perform ECG recording, heart rate variability analysis, arrhythmia detection, and clinical event monitoring. This multi-functional approach provides comprehensive patient monitoring quality improvement while consolidating complexity into one unified system rather than requiring multiple separate devices.
2Difficulty of detecting and measuring
If the WCD system processes and displays detailed diagnostics (heart rate histograms, QRS width plots, trends), then clinical analysis capability is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary processing of ECG signals and heart rate data in real-time, automatically generating diagnostic outputs such as heart rate histograms, QRS width measurements, and arrhythmia alerts before clinical review is needed. This advance computation simplifies the clinical analysis process by pre-organizing complex data into interpretable formats.
Solution Approach 2:
The WCD system continuously monitors patient cardiac parameters and provides immediate feedback through diagnostic displays and alerts when abnormal conditions are detected. The system compares current measurements against established clinical thresholds and automatically generates appropriate diagnostic reports, enhancing clinical analysis capability while using algorithmic automation to manage processing complexity.
Data Source
AI summary
A wearable cardioverter defibrillator (WCD) system includes a support structure that the patient may wear, and one or more sensors that may acquire patient physiological signals, such as ECG and others. A processor of the WCD system may determine diagnostics from the patient physiological signals. These diagnostics include a six-second ECG portion, heart rates as histograms, heart rates against QRS width, heart rate trends, clinical event counters, diagnostics relating to heart rate variability and about the atrial arrhythmia burden of the patient. In some embodiments, the WCD system includes a user interface with a screen that displays these diagnostics. In some embodiments, the WCD system exports these diagnostics for viewing by a different screen. When viewed, these diagnostics permit more detailed analysis of the state of the patient.