Closed-Loop Nerve Stimulation for Action-Specific Tremor Control
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Solution Overview
Problem
Existing electrical nerve stimulation systems lack real-time precision and adaptability due to fixed parameters and manual adjustments, failing to account for the dynamic variations in tremor manifestations induced by different actions, which can lead to adverse effects or reduced efficacy.
Innovation Solution
A wearable electrical nerve stimulation system that continuously acquires action and tremor data, constructs a continuous action sequence with Category I and II actions, and applies candidate stimulation parameter sets to identify optimal parameters using an IMU, sliding window, and cloud-based AI model for personalized feedback regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If fixed stimulation parameters are employed, then device complexity is reduced and ease of operation is improved, but adaptability and measurement precision deteriorate
Solution Approach 1:
The system continuously acquires tremor data and action data, processes this information through algorithms, and automatically adjusts stimulation parameters in real-time based on the feedback loop. This resolves the contradiction by maintaining ease of operation while dramatically improving adaptability through automated closed-loop control.
Solution Approach 2:
The patent transitions from fixed static parameters to dynamic parameters that continuously adapt based on real-time physiological feedback. The stimulation frequency, pulse width, and amplitude are no longer fixed but dynamically adjusted according to measured tremor characteristics and action states.
2Measurement precision
If manual parameter adjustment is used, then device complexity is reduced, but measurement precision and adaptability deteriorate
Solution Approach 1:
The system performs self-adjustment of stimulation parameters without requiring manual intervention. The embedded algorithms automatically process tremor and action data, identify optimal parameters, and adjust stimulation settings autonomously, achieving high measurement precision while managing complexity through integrated automation.
Solution Approach 2:
The patent replaces manual mechanical adjustment with automated electronic control systems. Algorithms substitute for human operators in analyzing physiological data and determining optimal stimulation parameters, significantly improving measurement precision while the electronic automation manages the complexity that would otherwise require manual processes.
3Adaptability or versatility
If stimulation parameters are not adjusted dynamically, then stability is improved, but adaptability and therapeutic efficacy deteriorate
Solution Approach 1:
The continuous feedback loop monitors tremor characteristics and action states, comparing current measurements against target ranges, and automatically adjusts parameters to maintain therapeutic efficacy. This dynamic adaptation improves adaptability while the closed-loop control mechanism ensures reliability by continuously verifying therapeutic outcomes.
Solution Approach 2:
The system systematically varies stimulation parameters (frequency, pulse width, amplitude) based on detected changes in tremor characteristics and action states. By dynamically changing parameters in response to physiological feedback, the system achieves both adaptability to different states and reliability through evidence-based adjustment protocols.
4Measurement precision
If action factors are not considered, then device complexity is reduced, but measurement precision and therapeutic efficacy deteriorate
Solution Approach 1:
The system integrates multiple functions including action detection, tremor analysis, and stimulation parameter optimization into a single unified platform. By making the system multi-functional and capable of handling diverse inputs (accelerometer data, gyroscope data, EMG signals), it achieves high measurement precision across different action types while managing complexity through integrated architecture.
Solution Approach 2:
The patent adds the dimension of action state analysis to the traditional tremor-only approach. By incorporating spatial and temporal characteristics of actions through inertial sensors and EMG, the system achieves more precise tremor measurement and characterization, differentiating tremor across multiple dimensions of motor behavior.
Data Source
AI summary
The present disclosure provides a method and a system for electrical stimulation based on physiological parameter feedback regulation. The method includes: continuously acquiring action data and corresponding tremor manifestation data in daily activities of a user; calculating an average tremor level of the user based on the tremor manifestations; identifying a plurality of actions exhibiting tremor manifestations deviating from the average tremor level, and constructing an action set; constructing a continuous action sequence based on the action set; and guiding the user to execute the continuous action sequence while respectively applying electrical nerve stimulation with a plurality of candidate stimulation parameter sets, determining a first electrical stimulation parameter set that satisfies the conditions that the tremor level of the Category I actions decreases, and the tremor level of the Category II actions does not rise, and performing subsequent electrical stimulation using the first electrical stimulation parameter set.