LVAD Thrombosis Detection via Wavelet Power Analysis
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Solution Overview
Problem
Current methods fail to detect early stages of pump thrombosis in LVADs, leading to delayed diagnosis and increased complications, as existing alarms are not sensitive enough to detect gradual thrombus formation or inflow cannula occlusions, resulting in high mortality and costly interventions.
Innovation Solution
A time-frequency analysis method using Wavelet decomposition of LVAD log-files to identify loss or instability of circadian rhythm in pump power consumption, allowing for early detection of thrombotic events before clinical manifestation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing alarm systems are used to detect pump dysfunction, then device complexity is reduced and ease of operation is maintained, but measurement precision and detection capability are insufficient to identify early thrombotic events
Solution Approach 1:
The patent introduces an intermediary analysis system that processes pump motor power consumption data through wavelet decomposition and circadian rhythm analysis. This intermediary layer extracts subtle patterns and early warning signs without requiring direct modification of the pump hardware or alarm system, thereby improving detection precision while maintaining relative simplicity of the overall device architecture.
Solution Approach 2:
The patent transforms the one-dimensional power consumption signal into a multi-dimensional analysis by applying wavelet decomposition across different time scales and frequency bands. This dimensional transformation reveals hidden patterns and early thrombotic events that are not visible in raw power consumption data, significantly enhancing measurement precision through time-frequency analysis.
2Reliability
If early detection methods are implemented, then reliability and patient outcomes are improved, but loss of time for data processing and analysis increases
Solution Approach 1:
The patent implements preliminary action by continuously monitoring and analyzing pump motor power consumption data in real-time, performing wavelet decomposition and circadian rhythm analysis ongoing. This allows the system to detect early thrombotic events and alert clinicians before clinical manifestations occur, improving reliability and patient outcomes without requiring retrospective analysis of stored data.
Solution Approach 2:
The patent replaces manual log-file analysis with automated computational algorithms that perform wavelet decomposition and circadian rhythm detection. This substitution of mechanical/manual processes with automated computational systems reduces the time required for data processing while maintaining high reliability in detecting early thrombotic events.
3Measurement precision
If standard log-file analysis is used, then ease of operation is maintained and device complexity is low, but measurement precision is insufficient to detect gradual thrombus formation
Solution Approach 1:
The patent introduces an intermediary computational layer that automatically performs wavelet decomposition and circadian rhythm analysis on pump motor power consumption data. This intermediary system handles the complex computational tasks, allowing clinicians to simply review automated alerts and reports without needing to manually perform sophisticated signal processing, thus maintaining ease of operation while dramatically improving measurement precision.
Solution Approach 2:
The patent implements self-service by enabling the monitoring system to automatically detect, analyze, and interpret pump dysfunction patterns without requiring expert manual analysis. The automated wavelet decomposition and circadian rhythm detection algorithms independently identify early thrombotic events, freeing clinicians from complex data analysis tasks while improving detection sensitivity.
Data Source
AI summary
The present invention relates to a method for early detection of artificial pump dysfunction based on a time-frequency analysis of the pump motor power consumption (PRC). The method allows to prevent low output syndrome, cardiogenic shock, pump thrombus and/or cardiac arrest or death as well as to monitor the efficacy of a thrombolytic therapy and/or to optimize intensity and duration of a thrombolytic therapy.