Heart-Lung Machine Role-Profile Mapping for Simplified Setup
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Solution Overview
Problem
The setup of heart-lung machines involves significant abstraction and mental work, requiring users to memorize dependencies and mappings between components, making it difficult to establish effective connections and configurations.
Innovation Solution
A heart-lung machine with a control assembly and processing unit that facilitates removably connecting components, allowing for automated mapping of component roles and dependencies through an intuitive user interface, enabling rapid setup and connection of components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional setup methods are used for heart-lung machines, then users can establish component connections, but the setup process requires significant abstraction and mental work, making it difficult and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically detecting component connections and pre-configuring dependency mappings before the user needs to use the machine. The processing unit creates a mapping profile by associating component names with roles and establishing dependencies automatically upon connection, eliminating the need for users to manually memorize and configure these relationships during setup.
Solution Approach 2:
The heart-lung machine performs self-service by automatically generating the mapping profile and establishing component dependencies without requiring extensive user input or mental effort. The system detects connections, assigns roles, and configures interactions autonomously, allowing users to simply connect components rather than configure complex relationships.
2Adaptability or versatility
If manual mapping configuration is required, then users can establish component dependencies, but users must memorize frequently used dependencies and control signal mappings
Solution Approach 1:
The patent replaces the mechanical/memory-based system (users memorizing and manually configuring dependencies) with an automated electronic system. The processing unit automatically detects component connections, retrieves appropriate mapping profiles from memory, and configures dependencies electronically, substituting human cognitive effort with automated information processing.
Solution Approach 2:
The system stores pre-defined mapping profiles and dependency configurations in advance. When components are connected, the processing unit automatically retrieves and applies the appropriate pre-configured mappings, eliminating the need for users to memorize or manually establish complex dependency relationships while maintaining full configurability.
3Ease of operation
If extensive user input is required for setup, then users can configure component mappings, but the process becomes burdensome and difficult to maintain overview of dependencies
Solution Approach 1:
The system provides feedback by displaying the mapping profile and component dependencies through a user interface. This allows users to view and verify the automatically configured relationships, maintaining awareness of system state without requiring users to mentally track complex dependencies. The feedback mechanism ensures users can understand and verify the configuration.
Solution Approach 2:
The system performs self-service by automatically establishing and tracking component dependencies, then presenting this information to users through the interface. This eliminates the burden of manual configuration while maintaining user awareness of system relationships through automated information presentation.
Data Source
AI summary
A heart lung machine (HLM) with simplified setup based on role-profile mapping. The HLM includes a control assembly including a control display device and a processing unit configured to create a mapping profile by associating each of a plurality of HLM component names with one of a plurality of HLM component roles and assigning at least one dependency between a first one of the plurality of HLM components and a second one of the HLM components. Each of the plurality of HLM component roles is associated with an HLM component function.


