Cardiac Signal Vector Selection with Biphasic Monophasic Assessment
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current implantable cardiac devices face challenges in selecting the optimal sensing vector for accurate cardiac signal analysis, as different vectors provide varying views of the cardiac cycle, and existing methods do not effectively account for the biphasic or monophasic nature of cardiac signals, which can impact signal analysis and therapy delivery.
Innovation Solution
The system assesses biphasic or monophasic characteristics of cardiac signals across multiple sensing vectors, using detection profiles and signal-to-noise ratio calculations to generate a quality metric for selecting the best vector for cardiac signal analysis, thereby improving the accuracy of rhythm classification and therapy decisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple sensing vectors are used to improve cardiac signal analysis, then the ability to capture different views of the cardiac cycle is enhanced, but the complexity of selecting the optimal vector increases
Solution Approach 1:
The system automatically assesses biphasic or monophasic characteristics of cardiac signals across multiple sensing vectors and generates quality metrics to select the best vector, eliminating the need for manual selection by clinicians. The device performs self-evaluation of signal quality parameters including biphasic/monophasic nature, signal-to-noise ratio, and amplitude to autonomously determine the optimal sensing vector.
Solution Approach 2:
The system evaluates multiple parameters of cardiac signals including biphasic/monophasic characteristics, signal-to-noise ratio, and amplitude to generate a comprehensive quality metric. By changing from single-parameter to multi-parameter assessment, the system resolves the complexity of vector selection while maintaining adaptability across different cardiac conditions.
2Ease of operation
If existing vector selection methods are used, then the selection process is simple, but the biphasic or monophasic nature of cardiac signals is not effectively accounted for
Solution Approach 1:
The system performs preliminary assessment of biphasic or monophasic characteristics, signal-to-noise ratio, and amplitude for all available sensing vectors before final selection. This preliminary evaluation of multiple parameters including phase characteristics ensures that the optimal vector is identified automatically without requiring complex manual analysis, thus maintaining ease of operation while improving measurement precision.
Solution Approach 2:
The system generates quality metrics based on biphasic/monophasic characteristics and uses this feedback to automatically select the optimal sensing vector. The feedback loop continuously evaluates signal parameters and adjusts vector selection accordingly, ensuring precise accounting of signal phase characteristics while maintaining simple operation through automated decision-making.
3Stability of the object's composition
If monophasic signals are prioritized for selection, then predictability and stability of signal analysis is improved, but the biphasic nature of some cardiac signals may be overlooked
Solution Approach 1:
The system evaluates both monophasic and biphasic characteristics as quantitative parameters and incorporates them into a comprehensive quality metric. Rather than prioritizing one signal type, the system objectively assesses the degree of biphasic/monophasic nature along with signal-to-noise ratio and amplitude, allowing adaptability to different signal types while maintaining stability through consistent multi-parameter evaluation criteria.
Solution Approach 2:
The system dynamically adjusts vector selection based on the biphasic/monophasic characteristics of the currently detected cardiac signal. The assessment is not fixed but adapts to the specific signal morphology observed, allowing the system to prioritize monophasic signals when present while still appropriately considering and selecting biphasic signals when they are the optimal choice for that particular patient's cardiac physiology.
Data Source
AI summary
Systems, methods and non-transient software media for performing sensing vector selection in an implantable cardiac device by assessing biphasic or monophasic characteristics of the cardiac signal in vectors under analysis. A factor associated with the biphasic or monophasic nature of the cardiac signal, as seen from a given sensing vector, can be inserted into the assessment of which of several available sensing vectors is considered “best” for purposes of cardiac signal analysis. Additional factors may be considered beyond the biphasic or monophasic nature including the quantity of turning points or inflections and amplitude variability.