Surgical Control Response to Invalid Measurement Streams
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Solution Overview
Problem
Surgical systems face challenges in accurately monitoring and responding to data streams from surgical devices, particularly when these streams become invalid due to measurement errors or malfunctions.
Innovation Solution
The surgical system employs a processor to obtain data streams from surgical devices, generate control signals based on these data streams, and detect invalid data streams. Upon detection, the system determines an approximation factor, which is used to generate a second control signal to adjust the response of the surgical device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If the surgical system uses data streams from surgical devices for control, then the automation and responsiveness of the surgical system is improved, but the reliability deteriorates when invalid data streams are received due to measurement errors or malfunctions
Solution Approach 1:
The system continuously monitors data streams from surgical devices and compares received values against expected ranges. When invalid data is detected, the system provides feedback by generating alerts and switching to alternative control modes, ensuring continuous safe operation while maintaining automation.
Solution Approach 2:
The system pre-establishes expected ranges for measurement values and prepares alternative control strategies before invalid data occurs. When data validation is needed, the system already has predetermined response protocols ready, reducing reaction time and maintaining system reliability.
2Reliability
If the surgical system implements data validation and approximation factor determination, then the reliability is improved when handling invalid data streams, but the device complexity increases due to additional processing steps
Solution Approach 1:
The system changes the parameter of data validation by implementing approximation factor determination that compares received values against expected ranges. This parameter-based approach provides a systematic method for identifying invalid data without requiring complex diagnostic procedures, balancing reliability improvement with manageable system complexity.
Solution Approach 2:
The system introduces an intermediary validation layer that sits between data acquisition and control execution. This intermediary component checks data validity and determines approximation factors, isolating the complexity of validation logic from both the sensing and control subsystems.
3Productivity
If the surgical system generates second control signals based on approximation factors, then the productivity is improved by maintaining continuous operation, but the manufacturing precision deteriorates due to use of approximate values instead of exact measurements
Solution Approach 1:
The system applies partial action by using approximation factors only for control adjustments when exact measurements are unavailable. The system generates second control signals that partially compensate for invalid data rather than completely replacing precise control, maintaining productivity while minimizing precision loss through selective approximation.
Solution Approach 2:
The system prepares cushioning measures by pre-calculating approximation factors and alternative control strategies before precision is needed. When invalid data occurs, these pre-prepared approximation values provide a cushion that allows continuous operation with minimal impact on surgical precision.
Data Source
AI summary
A surgical system may include a processor configured to make a determination that a data stream is invalid. The processor may be further configured to obtain a data stream associated with a measurement from a surgical device. The processor may be further configured to generate a first control signal associated with the surgical device based on the data stream. The processor may be further configured to detect that the data stream is invalid. Upon detecting that the data stream is invalid, the processor may be further configured to determine an approximation factor associated with the data stream. The processor may be further configured to generate a second control signal associated with the surgical device based on the determined approximation factor.