Implantable Vagus Nerve Stimulation for Closed-Loop Seizure Detection
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Solution Overview
Problem
Epileptic seizures often occur with little warning, leading to undesirable sequelae, and existing vagus nerve stimulation methods are either open-loop, user-activated, or lack sufficient accuracy in closed-loop detection.
Innovation Solution
An implantable device with motion sensors, such as accelerometers and gyroscopes, calculates biomarkers like heart and respiration rates, and uses adaptive filters and machine learning to detect seizures, triggering closed-loop vagus nerve stimulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If open-loop or user-activated vagus nerve stimulation is used, then the device complexity is reduced, but the reliability of seizure mitigation is worsened due to lack of automatic response
Solution Approach 1:
The patent implements closed-loop feedback by continuously monitoring motion signals from accelerometers and gyroscopes, processing these signals through adaptive filters to detect seizure biomarkers, and automatically triggering vagus nerve stimulation when seizures are detected. This feedback mechanism ensures reliable automatic response to seizures while managing device complexity through efficient signal processing algorithms.
Solution Approach 2:
The system enables self-service by automatically detecting seizure onset through motion signal analysis and initiating vagus nerve stimulation without user intervention. The implantable device autonomously monitors its own operational status and responds to physiological changes, eliminating the need for manual activation while maintaining high reliability.
2Measurement precision
If motion sensors and adaptive filters are used for seizure detection, then the measurement precision of seizure detection is improved, but the device complexity increases
Solution Approach 1:
The patent segments the seizure detection process into distinct functional modules: motion signal acquisition from accelerometers and gyroscopes, adaptive filtering for noise reduction, biomarker extraction through signal processing, and seizure detection algorithms. This segmentation improves measurement precision by dedicating specific components to each processing stage while managing overall device complexity through modular design.
Solution Approach 2:
The system replaces complex mechanical seizure detection methods with electronic and computational approaches. Motion sensors convert physiological movements into electrical signals, which are then processed using adaptive digital filters and machine learning algorithms, achieving high detection precision without complex mechanical structures.
3Reliability
If closed-loop detection with multiple sensors is implemented, then the reliability of seizure detection is improved, but the loss of energy increases due to continuous monitoring
Solution Approach 1:
The patent employs periodic action by implementing continuous monitoring of motion signals from accelerometers and gyroscopes, with seizure detection triggered only when specific biomarker patterns are identified. The system processes signals in continuous streams but activates full detection algorithms only when seizure-like patterns emerge, reducing overall energy consumption while maintaining high detection reliability through periodic assessment.
Solution Approach 2:
The system performs preliminary action by continuously monitoring motion signals and pre-processing them through adaptive filters to identify potential seizure biomarkers before full seizure detection is triggered. This preliminary processing stage consumes minimal energy while preparing data for rapid seizure detection when needed, balancing energy efficiency with detection reliability.
Data Source
AI summary
A system and method for vagus nerve stimulation. In some embodiments, a method includes: receiving a motion signal from a motion sensor of an implantable device implanted in a subject; generating, from the motion signal, a calculated biomarker; detecting an epileptic seizure, the detecting being based on the calculated biomarker; and in response to the detecting of the epileptic seizure, applying, by the implantable device, vagus nerve stimulation.