AR-Guided Dialysis Assembly and Self-Testing
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Solution Overview
Problem
Nursing staff require specialized training to operate dialysis devices and properly attach disposables, and this training is necessary for each new generation of dialysis machines, leading to inefficiencies and potential errors.
Innovation Solution
A procedure and device using augmented reality (AR) that enables fast, efficient, and error-free assembly of disposables and self-testing through internal and external information, by using a camera and CPU to compare the actual state of the device with a target state and initiate a function test.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional dialysis machine operation is used, then nurses can operate the device, but extensive specialized training is required for each new generation leading to inefficiency and potential errors
Solution Approach 1:
The system enables self-service through automated image recognition and AR-guided assembly. The camera captures the disposable attachment process, the CPU compares it with the target state, and the AR device provides real-time guidance, allowing users to perform assembly and functional tests independently without extensive training
Solution Approach 2:
The patent replaces manual training and mechanical operation with an automated optical-mechanical system. Instead of relying on trained human operators, the system uses a camera to capture images, a CPU to process and compare them with target states, and an AR device to provide guidance, substituting human expertise with an automated vision-based system
2Reliability
If manual assembly of disposables is performed, then the device can be set up, but errors may occur and extensive user training is required
Solution Approach 1:
The system implements continuous feedback during the assembly process. The camera captures the actual state of disposable attachment, the CPU compares it with the target state, and the AR device provides real-time feedback to the user. This closed-loop feedback system ensures assembly accuracy and allows for immediate correction of errors
Solution Approach 2:
The system performs preliminary verification by capturing images of the disposable attachment and comparing them with the target state before proceeding to functional tests. This preliminary action ensures that the assembly is correct before activating the device, preventing errors from propagating
3Reliability
If functional testing is performed manually, then device functionality can be verified, but the process is time-consuming and prone to human error
Solution Approach 1:
The system performs self-testing by automatically capturing images during the functional test process, comparing them with target states, and determining test results without human intervention. This automated self-service approach increases both speed and accuracy of functional testing
Solution Approach 2:
The functional testing process operates continuously without interruption. The camera captures images throughout the testing sequence, the CPU continuously compares actual and target states, and the AR device provides continuous feedback, maintaining uninterrupted useful action throughout the entire testing process
Data Source
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AI summary
The invention relates to a method and a device for activating a function of a device, preferably of a medical device, comprising the following steps: detecting an actual state of the device by means of a camera, preferably an AR device, preferably AR glasses, comparing the actual state of the device with a desired state of the device by means of a CPU connected to the camera, transmitting, on the basis of the comparison, a command for starting the function of the device or a function test, preferably a function test, from the CPU to the device and activating the function or the function test of the device on the basis of this command.