Cloud-Based AI Wrist Stimulation for Adaptive Tremor Suppression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing peripheral nerve electrical stimulation therapies for conditions like essential tremor and Parkinson's disease suffer from non-adaptive parameter settings, significant user variation in responses, local skin irritation, pain, diminished efficacy due to drug tolerance, and poor user experience from suboptimal wearability and operational complexity.
Innovation Solution
A cloud-based AI intelligent electrical stimulation system that dynamically adjusts stimulation parameters based on user tolerance and physiological data, using a wrist stimulator, mobile terminal, and cloud server with AI model and optimization processing to provide personalized and optimized therapies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed stimulation parameters are used, then device operation is simple, but therapeutic effectiveness varies significantly across different users
Solution Approach 1:
The patent implements dynamic parameter adjustment by enabling the device to automatically adapt stimulation parameters based on real-time user feedback and physiological data. The system transitions from static fixed parameters to dynamic adaptive parameters that change according to individual user responses, thereby improving therapeutic effectiveness without requiring manual complexity from the user.
Solution Approach 2:
The patent incorporates feedback mechanisms where user responses to stimulation are monitored and used to adjust subsequent stimulation parameters. This closed-loop feedback system allows the device to learn from user responses and automatically optimize parameters for each individual, resolving the contradiction between simplicity and effectiveness.
2Reliability
If high-intensity electrical stimulation is applied, then tremor suppression effect is enhanced, but local skin irritation and pain increase
Solution Approach 1:
The system dynamically adjusts stimulation intensity based on real-time monitoring of user comfort and physiological responses. Rather than applying continuously high-intensity stimulation, the system modulates parameters to maintain effective tremor suppression while staying within comfortable intensity thresholds for each user.
Solution Approach 2:
The patent employs periodic or pulsed stimulation patterns rather than continuous high-intensity stimulation. By using optimized pulse frequencies and duty cycles, the system achieves effective tremor suppression while allowing tissue recovery periods, thereby reducing skin irritation and pain associated with continuous high-intensity application.
3Adaptability or versatility
If multiple parameters are optimized for different users, then individualized treatment is achieved, but operational complexity increases
Solution Approach 1:
The patent implements self-service functionality where the device automatically performs parameter optimization without requiring user expertise. The system autonomously collects physiological data, analyzes user responses, and adjusts parameters independently, enabling individualized treatment while maintaining simple operation for the end user.
Solution Approach 2:
The patent replaces manual parameter adjustment mechanisms with automated electronic control systems. Machine learning algorithms and embedded processors substitute for manual optimization, enabling complex individualized parameter sets to be managed automatically without increasing the operational burden on users.
4Device complexity
If manual parameter adjustment is required, then device structure is simple, but user experience deteriorates due to suboptimal wearability
Solution Approach 1:
The system incorporates continuous feedback from wearable sensors that monitor physiological parameters and user comfort. This feedback enables automatic real-time adjustments to stimulation parameters and device settings, improving user experience without requiring complex manual intervention while maintaining relatively simple device architecture.
Data Source
AI summary
Disclosed are a cloud-based AI intelligent electrical stimulation system and control method. The cloud-based AI intelligent electrical stimulation system includes: a wrist stimulator, including a first acquisition module and a stimulation module; a mobile terminal in communication connection with the wrist stimulator; a cloud server in communication connection with the mobile terminal, where the AI model module outputs a stimulation parameter set based on the first data and pre-stored user data, and the first data is transmitted by the wrist stimulator to the cloud server through the mobile terminal; and the optimization processing module adjusts the stimulation parameter set according to user tolerance data and transmits the adjusted stimulation parameter set to the wrist stimulator. The cloud-based AI intelligent electrical stimulation system enables precise monitoring of user tremors, personalized electrical stimulation treatment, and real-time output of corresponding stimulation parameter sets, and personalized and optimized therapies are available.