Evoked Response Sensing With Dynamic Artifact-Aware Parameter Tuning
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Solution Overview
Problem
Existing medical devices struggle with static sensing parameters that fail to adapt to changes in the implantable medical device (IMD) and patient conditions, leading to compromised data acquisition and ineffective closed-loop stimulation therapy.
Innovation Solution
The system dynamically adjusts sensing and stimulation parameters, such as electrode selection, sensing windows, filtering, and amplification, to improve the quality of evoked response signals, minimizing artifacts and ensuring effective therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static sensing parameters are used, then device complexity is reduced, but measurement precision deteriorates due to inability to adapt to changing IMD and patient conditions
Solution Approach 1:
The patent implements dynamic sensing parameters that automatically adjust based on detected evoked response characteristics. The system transitions from fixed static parameters to dynamic parameters that change in real-time according to signal quality, artifact levels, and physiological conditions, thereby maintaining high measurement precision without requiring complex manual adjustment mechanisms
Solution Approach 2:
The sensing system performs self-optimization by automatically detecting signal quality metrics and adjusting its own parameters. The IMD autonomously modifies sensing window timing, filter settings, and amplification gains based on real-time feedback from the evoked response signals, eliminating the need for external intervention or complex control mechanisms while maintaining high measurement accuracy
2Measurement precision
If sensing parameters are dynamically adjusted, then measurement precision improves, but device complexity increases
Solution Approach 1:
The system employs feedback mechanisms where the detected evoked response characteristics (amplitude, timing, morphology) are used to automatically adjust sensing parameters. The feedback loop continuously monitors signal quality and artifact levels, then modifies sensing window positions, filter cutoff frequencies, and gain settings to optimize measurement precision while keeping the control logic relatively simple through rule-based adjustments
Solution Approach 2:
The patent systematically varies sensing parameters such as sensing window timing relative to stimulation pulses, filter bandwidths, and amplification gains to optimize evoked response detection. By methodically adjusting these parameters based on detected signal characteristics, the system achieves high measurement precision through a manageable set of parameter modifications rather than complex system changes
3Measurement precision
If artifact threshold detection is implemented, then measurement precision improves, but loss of time increases due to parameter adjustment delays
Solution Approach 1:
The system pre-establishes artifact detection thresholds and parameter adjustment rules before actual evoked response measurement begins. By having predetermined criteria for artifact identification and corresponding parameter modifications ready in advance, the system can rapidly respond to signal quality changes without time-consuming real-time analysis or complex decision-making delays
Data Source
AI summary
Example devices and techniques for improving signal quality of a sensed evoked response signal include processing circuitry communicatively coupled to stimulation generation circuitry and sensing circuitry. The processing circuitry is configured to control the stimulation generation circuitry to generate a stimulation signal and receive from the sensing circuitry the sensed evoked response signal. The processing circuitry is configured to determine that a characteristic value of at least one of the artifact or the sensed evoked response signal meets a threshold and automatically change, based on the determination that the characteristic value of the at least one of an artifact in the sensed evoked response signal or the sensed evoked response signal meets the threshold, at least one sensing parameter.