Schedule-Adaptive Neuromodulation Therapy With Activity-Based Stimulation
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Solution Overview
Problem
Existing neuromodulation therapies do not effectively adjust treatment based on a patient's schedule and corresponding activities, leading to varying effectiveness and potential inefficiencies.
Innovation Solution
A system and method that utilize a controller circuit to determine stimulation parameters based on a patient's schedule and activities, allowing for real-time adjustment of neuromodulation therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If neuromodulation therapy is delivered using fixed stimulation parameters, then the device complexity is reduced, but the adaptability to patient schedule and activities deteriorates
Solution Approach 1:
The system retrieves schedule information from the patient's calendar in advance and pre-determines appropriate stimulation parameters before the actual therapy delivery. This allows the device to adapt to patient activities without requiring real-time complex decision-making, thus improving adaptability while managing device complexity through advance preparation.
Solution Approach 2:
The system incorporates feedback mechanisms where the controller receives schedule data from the patient's calendar, processes this information to determine optimal stimulation parameters, and adjusts therapy delivery accordingly. This feedback loop enables the device to adapt to changing patient schedules and activities while maintaining manageable complexity through automated parameter determination.
2Reliability
If stimulation parameters are adjusted based on real-time schedule data, then the treatment effectiveness is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary processing of schedule data by retrieving and analyzing calendar information in advance of the therapy delivery window. This pre-processing approach allows the controller to have stimulation parameters ready when needed, improving treatment effectiveness through timely parameter adjustment without incurring excessive processing delays during actual therapy delivery.
Solution Approach 2:
The system dynamically adjusts stimulation parameters based on the patient's current schedule and activities. The controller continuously monitors schedule changes and activity status, then adapts parameters accordingly. This dynamic adjustment mechanism improves treatment effectiveness by ensuring parameters are optimized for current patient needs while managing processing time through efficient real-time decision algorithms.
3Measurement precision
If the system continuously monitors and adjusts stimulation parameters, then the treatment precision is improved, but the energy consumption increases
Solution Approach 1:
The system performs preliminary determination of stimulation parameters based on retrieved schedule information before actual therapy delivery. By pre-calculating appropriate parameters in advance, the system reduces the need for continuous real-time computational processing, thereby improving parameter determination precision while minimizing energy consumption during the therapy delivery period.
Solution Approach 2:
The system employs periodic monitoring and adjustment of stimulation parameters rather than continuous adjustment. The controller checks schedule changes and activity status at predetermined intervals, adjusting parameters periodically. This periodic action maintains treatment precision by ensuring parameters are updated when schedule changes occur while significantly reducing energy consumption compared to continuous monitoring and adjustment.
Data Source
AI summary
Systems and methods for schedule neuromodulation therapy are disclosed. An exemplary system comprises an electrostimulator and a controller. The electrostimulator can be configured to provide electrostimulation to a neural target of a patient. The controller circuit can be operably connected to the electrostimulator. The controller circuit can be configured to determine an activity parameter based on a schedule parameter of the patient, wherein the schedule parameter is associated with a schedule of the patient; determine stimulation parameters based on the activity parameter; and deliver the electrostimulation to the neural target of the patient using the stimulation parameters.


