Cardiac T-Wave Detection via Single Polarity Signal Processing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cardiac monitoring devices face challenges in accurately detecting and predicting tachyarrhythmias, often relying on painful defibrillation shocks that can cause cardiac tissue damage, and lack precision in identifying key features of cardiac signals like the T-wave end time.
Innovation Solution
The development of techniques and devices that use signal processing circuitry to determine a representative signal with single polarity, allowing for precise identification of the T-wave end time by calculating the area under the curve, enabling more accurate delineation of cardiac signal features and prediction of tachyarrhythmias, which can trigger preventive pacing therapy instead of shocks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If defibrillation shocks are used to treat tachyarrhythmias, then the tachyarrhythmia is terminated, but cardiac tissue damage occurs and the treatment is painful
Solution Approach 1:
The patent applies preliminary action by detecting T-wave end time and calculating area under the curve in advance to predict tachyarrhythmia before it occurs. This allows preventive pacing therapy to be delivered proactively rather than waiting for the arrhythmia to develop, thereby avoiding the need for defibrillation shocks and preventing cardiac tissue damage.
Solution Approach 2:
The patent implements preliminary anti-action by using precise T-wave detection and area under the curve calculation to identify early signs of tachyarrhythmia. This enables the delivery of preventive pacing therapy that counteracts the developing arrhythmia before it becomes severe enough to require harmful defibrillation shocks.
2Device complexity
If traditional T-wave detection methods are used, then the detection process is simple, but the precision of T-wave end time identification is insufficient
Solution Approach 1:
The patent applies parameter changes by transforming the cardiac signal into a representative signal with single polarity and using the area under the curve as a new parameter for T-wave end time detection. This mathematical transformation enhances the precision of T-wave identification while maintaining computational feasibility for implantable devices.
Solution Approach 2:
The patent replaces traditional mechanical signal processing methods with mathematical signal processing techniques. By using area under the curve calculation on a representative signal instead of conventional threshold-based detection, the system achieves higher measurement precision while remaining computationally efficient for implantable medical devices.
3Reliability
If precise T-wave detection and tachyarrhythmia prediction is implemented, then preventive therapy can be delivered, but the computational requirements increase for implantable devices
Solution Approach 1:
The patent extracts only the essential features needed for tachyarrhythmia prediction by focusing specifically on T-wave end time detection and area under the curve calculation. This selective extraction of critical signal characteristics enables accurate prediction while minimizing computational requirements, making the system suitable for implantable devices with limited processing power.
Solution Approach 2:
The patent applies partial action by implementing a simplified version of full signal analysis. Instead of processing the entire cardiac signal with complex algorithms, the system focuses on the critical T-wave portion and uses the area under the curve metric, achieving sufficient prediction accuracy with reduced computational burden appropriate for implantable devices.
Data Source
AI summary
An example device for detecting one or more parameters of a cardiac signal is disclosed herein. The device includes one or more electrodes and sensing circuitry configured to sense a cardiac signal via the one or more electrodes. The device further includes processing circuitry configured to determine a representative signal based on the cardiac signal, the representative signal having a single polarity, and determine an end of a T-wave of the cardiac signal based on an area under the representative signal.