Neurostimulation System Activity-Based Program Scheduling
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Solution Overview
Problem
Current neurostimulation systems lack the ability to dynamically adjust stimulation programs based on patient activity patterns, leading to suboptimal treatment outcomes as they do not effectively integrate real-time activity monitoring and location-based data to tailor therapy delivery.
Innovation Solution
A neurostimulation system that utilizes external and implantable devices to monitor patient activities, including location and physiological signals, to generate an activity profile, which dynamically adjusts stimulation programs by rescheduling or modifying the application of electrical pulses based on detected activities, ensuring optimal therapy delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional neurostimulation systems are used without activity monitoring, then the system structure remains simple, but treatment efficacy is suboptimal due to inability to dynamically adjust to patient activities
Solution Approach 1:
The patent introduces external devices (smartphones, smartwatches, activity monitors) as intermediaries that bridge the gap between simple neurostimulation systems and the need for complex activity-based adjustments. These external devices monitor patient activities and communicate with the neurostimulation system, allowing dynamic therapy adjustment without requiring complex sensors and processing within the implantable device itself.
Solution Approach 2:
The system pre-loads multiple stimulation programs into the implantable pulse generator before implantation or during programming sessions. These programs are prepared in advance based on anticipated patient activities and clinician specifications, allowing the device to switch between pre-configured programs based on real-time activity detection without requiring complex real-time program generation capabilities.
2Adaptability or versatility
If real-time activity monitoring and dynamic program adjustment are implemented, then treatment is personalized and adaptive, but the scheduling and control mechanisms become more complex
Solution Approach 1:
The patent segments the neurostimulation control system into distinct functional modules: activity monitoring (external devices), activity recognition and pattern detection (processing algorithms), program selection (control logic), and stimulation delivery (implantable device). Each module handles a specific aspect of the adaptive therapy process, reducing overall system complexity by dividing responsibilities across multiple components.
Solution Approach 2:
The system implements feedback loops where patient activities are continuously monitored, compared against activity profiles, and used to trigger appropriate stimulation program adjustments. The external devices provide feedback about detected activities to the implantable device, which then automatically adjusts therapy parameters, creating a closed-loop adaptive system that responds dynamically to patient needs.
3Adaptability or versatility
If multiple stimulation programs are stored and dynamically selected based on activity, then therapy can be optimized for different activities, but memory requirements and device capacity increase
Solution Approach 1:
The patent extracts the function of storing and managing large numbers of stimulation programs from the implantable pulse generator to external devices. External devices store comprehensive activity profiles, historical data, and multiple stimulation programs, then communicate only the necessary program selections or parameter adjustments to the implantable device, significantly reducing the memory burden on the implanted device.
4Measurement precision
If activity profiles and location-based algorithms are used to detect patient activities, then therapy can be precisely aligned with patient behavior, but data processing requirements and computational load increase
Solution Approach 1:
The patent uses external devices with higher processing capabilities as intermediaries to perform complex data processing tasks. These external devices handle activity recognition, pattern detection, and algorithmic processing of location and sensor data, then transmit only the essential results (activity type, duration, intensity) to the implantable device, reducing its computational burden and power consumption.
Data Source
AI summary
This application is generally related to systems and methods for providing a medical therapy to a patient by tracking patient activity and adjusting medical therapy based on occurrence of different types of activities performed by the patient according to clinician defined stimulation program scheduling rules.