Patient Therapy Device Detection and Parameter Adjustment
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Solution Overview
Problem
Conventional patient therapy devices require manual selection of operational parameters by caregivers, which can lead to incompatible or suboptimal therapy delivery, as they lack automatic detection and adjustment capabilities to suit the specific patient needs and device types.
Innovation Solution
A patient therapy device system equipped with a controller, detection system, and sensors that automatically detect the device type, location, and patient position, allowing for real-time adjustment of operational parameters such as pressure, duration, and therapy type to ensure optimal therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual parameter selection is used, then device simplicity is maintained, but therapy accuracy and reliability deteriorate
Solution Approach 1:
The system automatically detects device type, patient position, and operational parameters without requiring manual input. The controller autonomously selects therapy settings based on sensor data, eliminating the need for caregivers to manually configure parameters while ensuring accurate and appropriate therapy delivery.
Solution Approach 2:
Sensors continuously monitor device position, patient orientation, and operational status, feeding this information back to the controller. The controller adjusts therapy parameters in real-time based on this feedback, ensuring optimal therapy delivery while maintaining system simplicity through automated closed-loop control.
2Adaptability or versatility
If automated detection is implemented, then therapy adaptability improves, but device complexity increases
Solution Approach 1:
The system uses a single integrated controller that performs multiple functions: detecting device type, determining patient position, selecting therapy parameters, and monitoring operational status. This multi-functional approach enables high therapy adaptability across different device types and patient conditions without proportionally increasing system complexity.
Solution Approach 2:
Manual mechanical adjustment of therapy parameters is replaced with electronic sensors and automated controller logic. The system substitutes physical configuration with electronic detection and software-based parameter selection, achieving enhanced adaptability while keeping the physical device structure relatively simple.
3Reliability
If manual parameter selection is used, then ease of operation is maintained, but therapy reliability deteriorates
Solution Approach 1:
The system automatically configures and adjusts therapy parameters based on detected conditions, eliminating manual operation requirements. This self-configuration capability ensures reliable therapy delivery by preventing human error while maintaining ease of use, as the device operates autonomously without requiring caregiver intervention for parameter selection.
Solution Approach 2:
Continuous sensor feedback ensures the system maintains appropriate therapy parameters by monitoring device position, patient orientation, and operational status. This closed-loop control enhances therapy reliability by automatically correcting deviations while keeping operation simple, as the system self-regulates without requiring manual adjustment.
Data Source
AI summary
A detection system for patient therapy devices is provided. A controller is coupled to the detection system. The controller determines a desired operational parameter based on the type of patient therapy device detected.