Hemodynamic Status Determination via Perfusion Signal Framing
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Solution Overview
Problem
Current implantable and externally wearable devices for monitoring cardiac arrhythmias rely solely on cardiac electrical signals, which are insufficient for determining the need for therapy, especially in cases of well-tolerated ventricular tachycardia, and are prone to noise interference from movement and sensor malfunctions, leading to unreliable haemodynamic status assessment.
Innovation Solution
A device that processes perfusion signals by dividing them into frames based on the heart rate oscillation period, combining and standardizing them to isolate noise, and using the resulting haemodynamic state value to guide therapy delivery, thereby providing a more reliable indication of cardiac perfusion and outputting a confidence measure for decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cardiac electrical signals alone are used for monitoring, then the monitoring system is simple, but the reliability of haemodynamic status assessment deteriorates
Solution Approach 1:
The patent combines multiple signal sources (cardiac electrical signals, perfusion signals, and other physiological parameters) into a unified monitoring system. The controller integrates these diverse signals to comprehensively assess haemodynamic status, resolving the contradiction by merging multiple measurement modalities to achieve reliable assessment while managing system complexity through coordinated integration.
Solution Approach 2:
The monitoring system is designed to perform multiple functions: detecting cardiac electrical signals, measuring perfusion signals, analyzing other physiological parameters, and comprehensively assessing haemodynamic status. This multi-functional approach allows a single system to provide reliable haemodynamic assessment across various clinical scenarios without requiring separate dedicated devices for each measurement type.
2Measurement precision
If perfusion signals are processed with frame division and combination, then the measurement precision of haemodynamic state improves, but the processing time and computational complexity increase
Solution Approach 1:
The perfusion signal is divided into multiple frames, with each frame processed independently to determine local haemodynamic characteristics. This segmentation allows precise measurement of haemodynamic state changes over time while enabling parallel processing of individual frames, thereby reducing overall processing time and improving measurement precision through temporal resolution.
Solution Approach 2:
The signal processing employs periodic frame division based on the heart rate oscillation period, creating regular processing intervals. This periodic approach synchronizes with the physiological rhythm, ensuring consistent measurement precision while optimizing computational efficiency by processing signals in standardized time segments rather than continuously.
3Reliability
If standardization and noise isolation are applied to perfusion signals, then the reliability of therapy delivery decisions improves, but the device complexity increases
Solution Approach 1:
The processing system extracts and isolates the haemodynamic information component from the perfusion signal by removing noise and unrelated variations. Through standardization and noise isolation techniques, the system extracts the essential haemodynamic state parameters needed for reliable therapy decisions, separating the useful information from interfering signals while maintaining decision-making reliability.
Solution Approach 2:
The controller acts as an intermediary that receives raw perfusion signals, applies standardization and noise isolation processing, and generates standardized haemodynamic state indicators for therapy delivery decisions. This intermediary processing layer transforms complex raw signals into reliable decision-making parameters, improving therapy decision reliability while managing device complexity through structured signal transformation.
Data Source
AI summary
A device and a method thereof for determining a hemodynamic state of an individual from a magnitude of a perfusion signal or a signal which is a measure of a volume of blood in the thoracic cavity of the individual, wherein the control device is configured to receive a first signal and a heart rate signal, divide the first signal into frames, wherein a frame length is determined from an oscillation period of the heart rate signal, and determine a magnitude of the first signal from at least two frames, so as to obtain a more reliable magnitude of the first signal.