Elastic Wave Occlusion Detection in Dialysis Patient Lines
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Solution Overview
Problem
Current dialysis systems face challenges in accurately detecting and locating occlusions in patient lines, which can lead to inefficiencies and potential complications during treatment, as existing methods are sensitive to hydrostatic effects and may not effectively differentiate between types of occlusions.
Innovation Solution
The use of elastic waves generated by pressure changes in the patient line, measured by a pressure sensor, to determine the location of occlusions based on transit time and wave speed, allowing for inference of occlusion type and enabling the dialysis machine to adjust operations or alert the user.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pressure-based methods are used to detect occlusions in patient lines, then occlusion detection capability is provided, but the detection is sensitive to hydrostatic effects which reduces measurement precision
Solution Approach 1:
The patent applies mechanical vibration by generating elastic waves (pressure waves) that propagate through the patient line and reflect off occlusions. The pressure sensor detects these vibrations to determine occlusion location, transforming the detection method from static pressure measurement to dynamic wave-based detection, thereby eliminating sensitivity to hydrostatic effects.
Solution Approach 2:
The patent replaces the conventional pressure-based detection system with a wave-based detection system. Instead of measuring static or quasi-static pressure which is affected by hydrostatic effects, the system uses elastic wave propagation and reflection characteristics to detect occlusions, substituting one physical mechanism for another that is immune to the identified interference.
2Reliability
If conventional occlusion detection methods are used, then occlusion presence can be detected, but the ability to differentiate between types of occlusions is insufficient
Solution Approach 1:
The patent segments the occlusion detection process into multiple analytical dimensions: time of flight measurement, wave reflection characteristics, and pressure waveform analysis. Each dimension provides different information about the occlusion, enabling differentiation between occlusion types (e.g., complete vs. partial, location-specific characteristics) rather than treating all occlusions uniformly.
Solution Approach 2:
The system uses feedback from the reflected elastic waves to characterize occlusion types. By analyzing the reflected wave properties (amplitude, timing, waveform shape) and comparing them against expected patterns, the system can infer occlusion type and provide differentiated responses, such as alerting users to specific occlusion characteristics.
3Productivity
If manual monitoring of patient lines is performed, then treatment can proceed, but inefficiencies and potential complications arise due to delayed or inaccurate detection
Solution Approach 1:
The system implements self-service by automatically detecting and characterizing occlusions without requiring manual inspection. The elastic wave-based detection system continuously monitors the patient line, automatically identifies occlusions, and can trigger appropriate responses, eliminating the need for manual monitoring while improving both efficiency and safety.
Solution Approach 2:
The system performs preliminary detection of occlusions during the dialysis treatment process itself, rather than waiting for manual checks. By continuously monitoring for elastic wave reflections, the system can detect occlusions early and alert users before they become critical complications, improving treatment safety without reducing productivity.
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 method allows for precise detection of occlusions, reducing the impact of hydrostatic effects and enabling appropriate responses to different types of blockages, thereby improving treatment efficiency and safety.
Implementation Method 1
determining a location of an occlusion in the medical tube based on the elapsed time... elastic waves generated by pressure changes in the patient line
Data Source
AI summary
A dialysis machine (e.g., a peritoneal dialysis (PD) machine) can include a pressure sensor mounted at a proximal end of a patient line that provides PD solution to a patient through a catheter. During treatment, an occlusion can occur at different locations in the patient line and/or the catheter. Elastic waves may be generated at a pump that introduces (e.g., for fill cycles) or withdraws (e.g., for drain cycles) the solution into/out of the patient line. For example, when the solution is introduced or withdrawn suddenly, elastic waves travel distally down the patient line until they encounter the occlusion, and are then reflected back (e.g., toward the pressure sensor).