Multi-Target Adaptive Neurostimulation for Habituation and Side Effects
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Solution Overview
Problem
Existing neurostimulation therapies often rely on tonic stimulation techniques that are not adaptive and can lead to habituation and side effects, lacking the ability to effectively transition between different stimulation modes based on patient symptoms.
Innovation Solution
An implantable medical device (IMD) is configured to detect indicators of symptoms and adaptively transition between multiple stimulation modes, delivering electrical stimulation to different target areas based on real-time patient state classification, using a state machine framework for closed-loop control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If tonic stimulation techniques are used, then continuous symptom relief is provided, but habituation and side effects occur
Solution Approach 1:
The patent implements dynamic stimulation by transitioning between multiple stimulation modes (first, second, and third modes) based on detected symptom indicators. The system adjusts stimulation parameters and target electrodes in real-time rather than maintaining fixed tonic stimulation, thereby preventing habituation while maintaining symptom relief consistency.
Solution Approach 2:
The system employs periodic assessment of symptom indicators and transitions between stimulation modes at defined intervals. The processor evaluates indicators continuously and adjusts stimulation delivery periodically, creating a rhythm that prevents adaptive habituation while maintaining therapeutic effectiveness.
2Reliability
If adaptive transition between multiple stimulation modes is implemented, then treatment efficacy is enhanced and habituation is reduced, but device complexity increases
Solution Approach 1:
The patent segments the stimulation therapy into distinct modes (first, second, and third stimulation modes) with different parameters and target electrodes. Each mode is designed to address specific symptom patterns, and the processor selectively activates appropriate segments based on detected indicators, enhancing efficacy while managing complexity through modular design.
Solution Approach 2:
The system implements closed-loop feedback by continuously detecting symptom indicators and using this information to adjust stimulation mode transitions. The processor monitors physiological signals and automatically transitions between stimulation modes based on detected changes, creating an adaptive system that enhances treatment efficacy while the automated feedback loop manages control complexity.
3Object-generated harmful factors
If stimulation is delivered based on real-time symptom detection, then side effects are minimized, but measurement and detection requirements increase
Solution Approach 1:
The patent enables the system to self-adjust stimulation delivery based on autonomous detection of symptom indicators by the processor. The device automatically monitors physiological signals, identifies symptom patterns, and transitions between stimulation modes without external intervention, minimizing side effects while the automated detection process manages measurement complexity.
Data Source
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AI summary
A medical device or system of medical devices can be configured to detect an indicator of a symptom in a patient; in response to detecting the indicator of the symptom in the patient, deliver to the patient a first stimulation therapy; and in response to determining that the indicator of the symptom has been present for more than a threshold amount of time after beginning to deliver the first stimulation therapy a second stimulation therapy different than the first stimulation therapy.