Electro-Mechanical Window Monitoring for Arrhythmia Risk
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Solution Overview
Problem
Current methods for assessing the risk of cardiac arrhythmias in ambulatory subjects are challenging due to invasive procedures and noisy signal measurements, leading to inaccurate predictions and the false elimination of effective drugs from development pipelines.
Innovation Solution
A cardiac-based metric is computed by measuring the time difference between mechanical and electrical systoles using acoustical vibrations from the aortic valve closure and ECG signals, allowing for non-invasive and accurate characterization of cardiac function and arrhythmic risk, independent of heart rate.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If non-invasive sensing techniques are used to assess cardiac arrhythmia risk in ambulatory subjects, then ease of operation and patient comfort are improved, but measurement precision deteriorates due to noisy signals
Solution Approach 1:
The patent combines multiple sensing modalities (acoustic sensors for heart sounds, ECG electrodes for electrical activity, and motion sensors) into an integrated assessment system. By merging these different signal sources, the system achieves reliable arrhythmia risk assessment in ambulatory subjects despite individual signal noise, as the combined electro-mechanical analysis provides complementary information that compensates for weaknesses in any single modality
Solution Approach 2:
The patent introduces an intermediate processing layer that analyzes the relationship between electrical (ECG) and mechanical (heart sounds) signals. Rather than directly interpreting noisy individual signals, the system uses the time relationship between ECG complexes and subsequent heart sounds as an intermediary metric, which is more robust to noise and provides reliable arrhythmia risk assessment
2Measurement precision
If invasive procedures are used to obtain accurate cardiac measurements, then measurement precision is improved, but device complexity and patient discomfort increase
Solution Approach 1:
The patent replaces invasive mechanical measurement systems with non-invasive acoustic and electrical sensing. Instead of using catheters or implanted pressure sensors, the system uses external acoustic sensors to detect heart sounds and ECG electrodes to detect electrical activity, achieving sufficient measurement precision without invasive procedures or complex implanted devices
3Ease of operation
If traditional heart rate dependent risk indicators are used, then ease of measurement is improved, but reliability deteriorates due to interpretability difficulties
Solution Approach 1:
The patent changes the assessment parameter from heart rate dependent metrics to electro-mechanical window (EMW) based metrics. The EMW, defined as the time interval between the ECG complex and the subsequent heart sound, provides a heart rate independent measure of arrhythmia risk. This parameter change maintains measurement simplicity while significantly improving reliability and interpretability of risk assessment
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables reliable and sensitive assessment of arrhythmic risk in ambulatory patients, improving predictive accuracy and reducing false positives in drug development, while providing a cost-effective and practical method for characterizing cardiac function.
Implementation Method 1
The end of a mechanical systole is identified, for each of a plurality of cardiac cycles of the subject, based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle
Data Source
AI summary
A cardiac-based metric is computed based upon characteristics of a subject's cardiac function. In accordance with one or more embodiments, the end of a mechanical systole is identified for each of a plurality of cardiac cycles of a subject, based upon an acoustical vibration associated with closure of an aortic valve during the cardiac cycle. The end of an electrical systole of an electrocardiogram (ECG) signal for each cardiac cycle is also identified. A cardiac-based metric is computed, based upon a time difference between the end of the electrical systole and the end of the mechanical systole, for the respective cardiac cycles.