Patient-Guided Neuromodulation Therapy With Medication-State Feedback
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Solution Overview
Problem
Existing neuromodulation therapies for conditions like Parkinson's disease are not effectively adjustable outside the clinical setting, leading to inefficiencies and potential side effects due to fluctuations in medication levels and therapeutic efficacy.
Innovation Solution
A patient-guided neuromodulation therapy system that allows for real-time adjustments based on patient feedback, using mobile applications to query therapy effectiveness and adjust stimulation parameters in response to medication cycles and side effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If neuromodulation therapy settings are programmed based on observed clinical effects, then therapeutic efficacy is improved, but the therapy cannot be adjusted in real-time outside clinical settings, leading to side effects when medication levels fluctuate
Solution Approach 1:
The system implements feedback mechanisms where patient responses to queries about symptoms and side effects are continuously collected and analyzed. This feedback loop enables the processing system to dynamically adjust stimulation parameters based on real-time patient conditions and medication efficacy, resolving the contradiction between maintaining reliable therapeutic effects and enabling real-time adaptability outside clinical settings
Solution Approach 2:
The system enables self-service by allowing patients to provide feedback through mobile applications and wearable devices, which automatically triggers parameter adjustments without requiring clinical intervention. This empowers the system to adapt to medication level fluctuations and patient needs autonomously, achieving both reliability and real-time adjustability
2Device complexity
If fixed stimulation parameters are used, then device complexity is reduced, but the therapy cannot adapt to fluctuations in medication levels, causing side effects
Solution Approach 1:
The system performs self-adjustment by automatically analyzing patient feedback and medication schedules, then modifying stimulation parameters without requiring complex manual programming or clinical visits. This self-service capability enables the device to adapt to medication cycles while keeping the user interface simple and the overall device complexity manageable
Solution Approach 2:
The system dynamically changes stimulation parameters based on detected medication efficacy patterns and patient responses. By automatically adjusting parameters such as amplitude, frequency, or pulse width in response to medication levels, the system achieves adaptability without requiring complex mechanical adjustment mechanisms, resolving the contradiction between device simplicity and adaptive capability
Data Source
AI summary
Systems and methods for patient guided neuromodulation therapy are disclosed. An exemplary system comprises a processing system and a memory. The memory may store instructions executable by the processing system to receive a medication schedule from a patient associated with neuromodulation therapy. The instructions may be executable by the processing system to send queries related to symptoms and side effects experienced by the patient. The instructions may be executable by the processing system to determine a parameter for a period of time of medication efficacy. The instructions may be executable by the processing system to determine a change in the parameter for the period of time.