Neurostimulation Program Selection via Patient Life Factors
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Solution Overview
Problem
Current neurostimulation therapies face challenges in maintaining efficacy due to variations in patient physical and mental states, as well as environmental factors, which require adjustments to the delivery of neurostimulation programs over time.
Innovation Solution
A system and method that utilize patient life factors such as biopsychosocial, environmental, and physical factors to select and adjust neurostimulation programs, incorporating sensors and user input to dynamically adjust therapy settings, allowing for real-time optimization of neurostimulation delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed neurostimulation programs are used, then device complexity is reduced, but therapy efficacy deteriorates due to patient state variations
Solution Approach 1:
The system dynamically adjusts neurostimulation programs based on real-time sensing of patient states (movement, posture, physiological parameters). The programmable neurostimulator transitions from static fixed programs to dynamic adaptive programs that automatically modify stimulation parameters according to detected patient conditions, resolving the contradiction between maintaining fixed simplicity and achieving variable efficacy.
Solution Approach 2:
The system incorporates sensors that continuously monitor patient states and feed this information back to the neurostimulator. This feedback loop enables the device to automatically select and adjust appropriate neurostimulation programs based on current patient conditions, eliminating the need for manual program adjustments while maintaining therapy efficacy across varying patient states.
2Reliability
If manual program adjustments are made frequently, then therapy efficacy is maintained, but loss of time increases due to repeated programming
Solution Approach 1:
The neurostimulator system performs self-adjustment by automatically selecting and implementing appropriate neurostimulation programs based on sensor-detected patient states. This eliminates the need for external manual programming by clinicians, allowing the device to maintain therapy efficacy autonomously without consuming clinical time for repeated adjustments.
Solution Approach 2:
Multiple neurostimulation programs are pre-programmed with different parameters before patient use. When a specific patient state is detected, the system quickly switches to the pre-configured appropriate program, avoiding the time required for real-time manual programming while maintaining therapy efficacy.
3Adaptability or versatility
If multiple neurostimulation programs are available, then adaptability to patient conditions improves, but device complexity increases
Solution Approach 1:
The system extracts the decision-making function from the device itself and relocates it to external factors (sensed patient states). Instead of requiring complex algorithms within the neurostimulator to determine appropriate programs, the system uses simple sensor detection of patient conditions to automatically select from pre-defined programs, reducing internal device complexity while maintaining adaptability.
Solution Approach 2:
The neurostimulator is designed with multi-functionality, capable of delivering multiple different neurostimulation programs through the same hardware platform. This universal design allows a single device to handle various patient conditions without requiring separate specialized devices, achieving adaptability without proportionally increasing complexity.
Data Source
AI summary
An example of a system for controlling delivery of neurostimulation from a stimulation device to a patient according to a selected neurostimulation program may include a programming device. The programming device may be configured to be communicatively coupled to the stimulation device and to select the neurostimulation program. The programing device may include a user interface and a program selection circuit. The program selection circuit may be configured to receive life factor information indicative of at least one of an environmental factor and a biopsychosocial factor of the patient, to select the neurostimulation program from a plurality of neurostimulation programs based on the received life factor information, to present a recommendation using the user interface based on the selected neurostimulation program, and to receive a user command responding to the recommendation using the user interface.