Vagus Nerve Stimulation Feedback Control for Selective Fiber Activation
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Solution Overview
Problem
The anatomical and functional complexity of the vagus nerve (VN) hinders the understanding of its therapeutic mechanisms, making it challenging to selectively stimulate specific fiber types for targeted therapeutic effects.
Innovation Solution
A method and system that utilize physiological measurements and selectivity indices to control vagus nerve stimulation by adjusting signal parameters, allowing selective activation of afferent A-type, efferent A-type, and B-type fibers based on heart rate, breathing interval, and electromyography measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional vagus nerve stimulation is used, then therapeutic effects are achieved, but the anatomical and functional complexity of the vagus nerve makes it difficult to selectively stimulate specific fiber types
Solution Approach 1:
The patent applies parameter changes by systematically varying electrical stimulation parameters (pulse width, frequency, amplitude, waveform shape) to selectively activate different vagal fiber types. The controller adjusts these parameters based on measured physiological responses to achieve fiber-type-specific activation, resolving the contradiction between achieving selectivity and managing system complexity through structured parameter optimization
Solution Approach 2:
The patent implements feedback mechanisms where physiological measurements (heart rate, breathing, EMG) are continuously monitored and fed back to the controller. This feedback loop enables real-time adjustment of stimulation parameters to achieve and maintain selective activation of target fiber types, balancing precision requirements with system complexity through adaptive control
2Measurement precision
If multiple physiological measurements are collected to determine selectivity indices, then fiber activation precision is improved, but measurement and processing requirements increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing algorithms and thresholds for calculating physiological selectivity indices from multiple measurements. The system is pre-configured with the computational framework needed to process heart rate, breathing, and EMG data efficiently, reducing real-time processing requirements while maintaining high measurement precision
Solution Approach 2:
The patent implements multi-functionality by using a single integrated measurement system to simultaneously collect multiple physiological parameters (heart rate, breathing interval, EMG) that all contribute to determining fiber activation characteristics. This universal approach consolidates measurement and processing functions, improving precision without proportionally increasing time requirements
3Manufacturing precision
If signal parameters are adjusted to activate specific fiber types, then therapeutic selectivity is improved, but the complexity of determining optimal parameters increases
Solution Approach 1:
The patent applies self-service by implementing an automated controller that independently determines optimal signal parameters based on measured physiological responses and calculated selectivity indices. The system self-adjusts stimulation parameters without requiring manual intervention, reducing the complexity burden on operators while maintaining high precision in fiber-type-specific activation
Solution Approach 2:
The patent implements dynamics by making signal parameters adaptive rather than fixed. The controller continuously adjusts stimulation parameters in real-time based on ongoing physiological measurements and changing subject conditions, allowing the system to automatically optimize for current therapeutic needs while managing parameter complexity through dynamic rather than static control
Data Source
AI summary
A system and method for determining parameters of stimulation electrical signals for vagus nerve stimulation is discussed. Initial parameters of the signals are selected to provide reliable response to stimulation in physiological measurements of a subject. One or more physiological and neurological indices are determined based on a vagus nerve response model. For a selected vagus nerve activation, the electrical parameters of the signals are varied while monitoring changes in physiological parameters and values of the indices. The electrical parameters are varied until desired response in the physiological measurements and the values of the indices is observed. The electrical parameters are then stored as preferred parameters and can be used to activate the selected vagus nerve of the subject.