Implantable Neurostimulator Titration With Adaptive Rate Control
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Solution Overview
Problem
The standard titration process for neurostimulation therapy, such as vagus nerve stimulation (VNS), is time-consuming and inefficient, particularly for patients with conditions like chronic heart failure, where rapid progression of the condition necessitates immediate full therapeutic intensity, but current methods require gradual intensity increases under physician supervision, extending the titration period and risking condition degradation.
Innovation Solution
A method and system for automating the neurostimulation titration process, adjusting parameters like output current, frequency, and duty cycle at varying rates, with feedback mechanisms to minimize side effects and adapt to patient tolerance, allowing for faster achievement of therapeutic intensity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the titration process is performed manually by a physician with gradual intensity increases, then patient comfort and tolerance are maintained, but the titration time is significantly extended and full therapeutic intensity is delayed
Solution Approach 1:
The neurostimulator system performs self-titration by automatically adjusting stimulation intensity parameters based on pre-programmed algorithms and patient responses, eliminating the need for manual physician intervention during each titration step. The system monitors patient tolerance and autonomously progresses through intensity levels, thereby reducing overall titration time while maintaining patient comfort.
Solution Approach 2:
The system pre-programs multiple titration algorithms and intensity progression schedules before treatment begins. These pre-established protocols allow the system to automatically navigate through various intensity levels and adjustment rates without requiring real-time manual intervention, thus accelerating the titration process while preserving patient tolerance guidelines.
2Productivity
If the titration process is accelerated to deliver full therapeutic intensity faster, then treatment effectiveness is improved for time-sensitive conditions, but patient discomfort and side effects increase
Solution Approach 1:
The system continuously monitors patient responses to stimulation intensity changes and uses this feedback to dynamically adjust the titration process. By detecting signs of discomfort or tolerance limits, the system can pause, reverse, or modify intensity increases, thereby achieving faster overall titration while preventing excessive patient discomfort and side effects at any given step.
Solution Approach 2:
The titration algorithm dynamically adjusts the rate and magnitude of intensity increases based on real-time patient responses and historical data. Rather than following a fixed linear progression, the system adapts the titration curve to optimize both speed and comfort, delivering full therapeutic intensity faster when patient tolerance permits while slowing down or backing off when discomfort signals are detected.
3Reliability
If the titration process requires multiple in-person visits to the provider's office, then titration adjustments can be monitored and adjusted manually, but scheduling conflicts and travel time extend the overall titration duration
Solution Approach 1:
The neurostimulator system performs self-titration with automated monitoring and adjustment, eliminating the need for frequent in-person provider visits during the titration process. The system independently tracks patient responses, monitors tolerance levels, and executes intensity adjustments based on pre-programmed algorithms, thereby reducing the time lost to travel and scheduling conflicts while maintaining reliable monitoring through remote data collection and communication with the provider.
Data Source
AI summary
Systems and methods for customizable titration of an implantable neurostimulator are provided. A method of titrating a neurostimulation signal delivered to a patient from an implantable pulse generator includes delivering a first neurostimulation signal with a first set of parameters, increasing a first value of the first neurostimulation signal at a first rate for a first period of time while delivering the first neurostimulation signal, ceasing delivery of the first neurostimulation signal when the first value reaches a first target value, delivering a second neurostimulation signal with a second set of parameters, and increasing the second neurostimulation signal at a second rate for a second period of time while delivering the second neurostimulation signal.