Medical Speech Command Verification for Safety-Critical Control
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Solution Overview
Problem
Current speech control systems for medical apparatuses lack reliable methods for verifying the quality of speech recognition algorithms, particularly for safety-critical applications, failing to meet first-failure safety standards, which are essential for ensuring patient and operator safety.
Innovation Solution
A method for speech control of medical apparatuses that includes analyzing operator speech input, assigning safety classes to commands, and confirming these commands through a verification signal, ensuring first-failure safety by independently verifying the commands before execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If speech control is implemented in medical apparatuses, then ease of operation is improved, but reliability deteriorates due to lack of verification methods for speech recognition accuracy
Solution Approach 1:
The system performs preliminary verification of the speech recognition result before executing the speech command. A verification signal is generated by analyzing whether the recognized speech command matches the original speech input, and only commands with positive verification signals are executed. This preliminary check ensures reliability while maintaining ease of operation.
Solution Approach 2:
The system implements a feedback mechanism where the recognized speech command is fed back to be compared with the original speech input. This feedback loop allows the system to verify recognition accuracy and generate a verification signal, resolving the contradiction between ease of operation and reliability.
2Reliability
If verification of speech commands is implemented, then reliability is improved, but device complexity increases due to additional verification steps
Solution Approach 1:
The verification function is merged with the existing speech recognition system. The verification signal generation is integrated into the speech control workflow, combining the speech recognition and verification functions into a unified system rather than adding completely separate verification hardware or software.
Solution Approach 2:
The speech recognition system performs self-verification by comparing its own output with the original input. The system uses its existing processing capabilities to generate verification signals, eliminating the need for external verification systems and reducing overall device complexity.
3Productivity
If speech control is used for safety-critical commands, then productivity is improved, but safety deteriorates without proper verification mechanisms
Solution Approach 1:
For safety-critical commands, the system performs preliminary verification before execution by generating a verification signal that confirms the speech command was correctly recognized. This preliminary safety check prevents harmful errors while maintaining productivity through automated speech control.
Solution Approach 2:
The verification signal acts as an intermediary between speech recognition and command execution for safety-critical operations. This intermediary layer ensures that only correctly recognized commands are executed, eliminating safety hazards while preserving productivity benefits.
Data Source
AI summary
One or more example embodiments provides a method for speech control of a medical apparatus, the method comprising capturing an audio signal containing operator speech input directed at controlling the apparatus; first analyzing the audio signal for a first speech analysis result; recognizing a first speech command based on the first speech analysis result; assigning the first speech command to a safety class, the safety class being provided for safety-critical speech commands; ascertaining a verification signal to confirm the first speech command; generating a control signal for controlling the medical apparatus, the generating being based on the first speech command and the verification signal, wherein the control signal is for controlling the medical apparatus according to the first speech command; and inputting the control signal into the medical apparatus.


