Dialysis Operation Monitoring Using User-Specific Action Detection
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Solution Overview
Problem
Current medical devices, such as dialysis machines, face malfunctions due to both technical and user errors, which can be life-threatening, necessitating improved user action monitoring and proactive error prevention.
Innovation Solution
An operator monitoring unit that captures user identity and operating actions, compares them to predefined target data, and generates user-specific messages to prevent errors by providing proactive assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual monitoring of dialysis operations is performed, then flexibility and adaptability are maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system enables automatic self-monitoring of dialysis operations through sensors that detect operating actions, flow rates, and pressure changes. The dialysis machine autonomously tracks and records operational parameters without requiring continuous manual intervention, allowing the system to serve itself in monitoring its own performance.
Solution Approach 2:
Manual mechanical monitoring is replaced with electronic sensing and automated data processing systems. Sensors detect operational parameters and transmit data to a processor that automatically analyzes the information, substituting human manual observation and recording with electronic detection and computational analysis.
2Productivity
If automated monitoring systems are implemented, then time consumption is reduced, but device complexity increases
Solution Approach 1:
The monitoring system is integrated into the existing dialysis machine control unit, allowing the same hardware to perform both dialysis control functions and monitoring functions. The processor analyzes multiple types of data (operating actions, flow rates, pressure changes) using the same electronic platform, reducing the need for separate dedicated monitoring hardware.
Solution Approach 2:
The system uses the existing control unit as an intermediary between sensors and the user interface. The control unit receives sensor data, processes it according to predefined criteria, and presents results through the existing display and alert mechanisms, avoiding the need for separate monitoring hardware interfaces.
3Measurement precision
If comprehensive monitoring of all operating actions is performed, then detection precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The system focuses monitoring attention on specific critical parameters and operating actions rather than attempting to monitor all system aspects equally. Sensors and detection algorithms are targeted at key operational events that most significantly impact dialysis quality and patient safety, such as pump motor currents, pressure changes, and flow rate variations.
Solution Approach 2:
The system monitors changes in operational parameters over time rather than static values. By detecting variations in pump motor current, pressure differentials, and flow rates, the system identifies operating actions through parameter changes, improving detection precision while using standard sensors already present in the dialysis machine.
4Reliability
If multiple sensors and detection methods are used, then reliability of detection is improved, but device complexity and cost increase
Solution Approach 1:
Existing sensors in the dialysis machine are made multi-functional by using them for both their primary control functions and for monitoring operating actions. The same pressure sensors, flow sensors, and motor current sensors used for dialysis control are also utilized for detecting operating actions, eliminating the need for additional dedicated monitoring sensors.
Solution Approach 2:
The system uses feedback from existing operational parameters to infer operating actions. By continuously monitoring pump motor currents, pressure changes, and flow rates, and comparing these against expected patterns, the system reliably detects operating actions through feedback analysis of normal operational data already being collected by the dialysis machine.
Data Source
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AI summary
The invention relates to an operation-checking unit (20) for a dialysis device (D), comprising an identification unit (21) which is designed to detect the identity of a user. The operation-checking unit (20) additionally comprises a sensor unit (22), which is designed to detect an operating action of the identified user as an ACT operating data set, and a processing unit (23), which is designed to compare the detected ACT operating data set with a TAR operating data set stored in a storage unit (MEM) to determine a match in order to generate a user-specific notification in the event of a deviation.