Medical Voice Command Verification for First-Fault Safety
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Solution Overview
Problem
Current voice control systems for medical devices lack reliable methods for ensuring first-fault safety and robustness against distortions or background noise, preventing unauthorized or unconfirmed critical actions that could endanger patients or operators.
Innovation Solution
A method for voice control of medical devices that includes analyzing audio signals for voice commands, assigning them to safety classes, generating verification signals to confirm critical commands, and executing them only if confirmed, using independent hardware and software systems to ensure first-fault tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If voice control is implemented for medical devices, then ease of operation is improved, but reliability deteriorates due to lack of first-fault safety guarantees
Solution Approach 1:
The patent introduces an intermediary verification mechanism between voice command recognition and device execution. A separate verification module independently checks recognized commands against safety criteria before allowing device activation, acting as a mediator that prevents direct execution of potentially erroneous commands while maintaining the convenience of voice control.
Solution Approach 2:
The patent implements preliminary verification of voice commands before they are executed. The system performs preliminary checks including confidence threshold validation, safety-critical command identification, and cross-verification through alternative recognition methods to ensure command accuracy before device activation, preventing unsafe operations in advance.
2Reliability
If redundant verification systems are implemented for safety-critical commands, then reliability is improved, but device complexity increases
Solution Approach 1:
The patent segments the verification process into distinct functional modules: a verification module that independently checks recognized commands, a safety criteria database that stores validation rules, and an execution control module that gates device activation. This segmentation allows comprehensive verification without requiring a completely redundant system, managing complexity through modular design.
Solution Approach 2:
The patent applies verification intensity selectively based on command type. Safety-critical commands (e.g., device activation, parameter changes) undergo rigorous multi-method verification with higher confidence thresholds, while routine commands use standard verification. This localized quality approach ensures high reliability for critical functions without unnecessarily complicating the entire system.
3Reliability
If speech recognition algorithms are trained with diverse datasets, then robustness against distortions is improved, but manufacturing precision deteriorates due to lack of universal verification criteria
Solution Approach 1:
The patent performs preliminary validation of the training dataset before deploying the speech recognition system. Universal verification criteria are established in advance, including minimum dataset diversity requirements, quality thresholds for training samples, and robustness benchmarks. This preliminary action ensures that the algorithm is trained on sufficient diversity while maintaining verifiable quality standards.
Solution Approach 2:
The patent implements feedback mechanisms where the verification module monitors recognition accuracy across different distortion conditions and provides feedback for dataset refinement. Performance metrics from real-world operation feed back into training data selection and algorithm optimization, continuously improving robustness while maintaining verifiable standards through measured performance thresholds.
Data Source
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AI summary
The invention relates to a method for voice control of a medical device (1) comprising the steps: - capturing (S10) an audio signal (E1) containing a voice input directed towards the control of the device by an operator;- Initial analysis (S20) of the audio signal to provide an initial speech analysis result (SAE1), - Recognition (S30) of an initial speech command (SSB1) based on the initial speech analysis result, - Assignment (S40) of the initial speech command to a security class (SK), with one security class being provided for safety-critical speech commands, - Determination (S50) of a verification signal (VS) to confirm the initial speech command, - Generation (S60) of a control signal (C1) to control the medical device based on the initial speech command and the verification signal, provided the initial speech command has been confirmed, wherein the control signal is suitable to control the medical device in accordance with the initial speech command, and - Input (S70) of the control signal into the medical device.;