Heart Failure Co-morbidity Detection Circuit
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Solution Overview
Problem
Current patient monitoring systems lack the ability to accurately differentiate between heart failure events and non-heart failure physiological events, leading to potential misinterpretation of patient conditions.
Innovation Solution
A system comprising a heart failure event detection circuit, a non-heart failure physiological event detection circuit, and a comparison circuit that analyzes physiological signals to determine if they contribute to a heart failure event, providing a non-heart failure status indication through a remote monitoring system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physiological signals are analyzed to determine heart failure events, then heart failure detection capability is improved, but the ability to differentiate non-heart failure events deteriorates
Solution Approach 1:
The monitoring system is divided into separate functional modules: a heart failure event detection circuit that specializes in detecting heart failure events, a non-heart failure physiological event detection circuit that identifies non-heart failure events, and a comparison circuit that resolves conflicts between them. This segmentation allows each module to optimize its detection algorithms for specific event types, improving overall differentiation accuracy.
Solution Approach 2:
The comparison circuit acts as an intermediary between the heart failure detection circuit and non-heart failure detection circuit. It receives indications from both circuits, compares the physiological signals against multiple criteria, and determines whether signals contributing to heart failure indication also meet non-heart failure criteria. This intermediary resolves the contradiction by systematically evaluating multiple possibilities before final classification.
2Adaptability or versatility
If multiple physiological signals are monitored simultaneously, then comprehensive patient monitoring is improved, but system complexity increases
Solution Approach 1:
The system segments the monitoring function into specialized circuits: heart failure detection circuit, non-heart failure detection circuit, and comparison circuit. Each circuit processes physiological signals independently according to its specific detection criteria, then the comparison circuit integrates the results. This segmentation manages complexity by assigning specific detection tasks to dedicated modules rather than requiring a single complex algorithm to handle all event types.
Solution Approach 2:
The comparison circuit serves multiple functions: it compares physiological signals against heart failure criteria, evaluates non-heart failure criteria, determines signal contributions to different event types, and generates final event classifications. This multi-functionality reduces overall system complexity by consolidating multiple processing tasks into a single versatile component.
Data Source
AI summary
Systems and methods to indicate heart failure co-morbidity are described. In an example, one or more physiological signals can be analyzed for a specified time period to determine at least one of an indication of a heart failure event or a characteristic of heart failure co-morbidity, such as a characteristic of a non-heart failure physiological event. At least one of the different physiological signals can be compared to a specified criterion indicative of the heart failure event to provide a comparison value, where the comparison value is indicative of whether the at least one of the different physiological signals contributed towards the indication of the heart failure event. An indication of a non-heart failure physiological event can be determined using the heart failure event indication, the non-heart failure physiological event characteristic, and the comparison value indicative of whether the one or more physiological signals contributed towards the heart failure event.


