Neuromodulation Therapy Reprogramming With Continuous State Monitoring
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Solution Overview
Problem
Conventional neuromodulation therapy systems face inefficiencies in programming and reprogramming due to the limitations of discrete in-clinic sessions, which fail to account for fluctuating subject conditions and complex anatomical targets, leading to suboptimal treatment outcomes.
Innovation Solution
A distributed computing environment with implant devices, mobile devices, and cloud-based servers that continuously monitor sensor data to update neuromodulation therapy algorithms, allowing for on-the-fly reprogramming based on real-time subject states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If discrete in-clinic programming sessions are used to adjust therapy parameters, then the implant device can be programmed with specific parameters, but the treatment cannot account for fluctuating subject conditions throughout the day
Solution Approach 1:
The system transitions from static, discrete programming sessions to dynamic continuous monitoring and adjustment. The implant device continuously monitors subject conditions and automatically adjusts therapy parameters in real-time, enabling the system to adapt to fluctuating physiological states without requiring multiple clinic visits.
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring subject conditions (such as brain signals, movement, or other physiological parameters) and using this feedback to automatically adjust therapy parameters. This feedback mechanism enables the system to respond to changing subject conditions and optimize treatment continuously.
2Manufacturing precision
If more electrodes and complex programs are used to treat complex anatomical targets, then treatment coverage and precision improve, but the computation required exceeds implant device capabilities
Solution Approach 1:
The system divides computational tasks between the implant device and external devices. The implant device handles real-time monitoring and basic control functions, while complex computation, data analysis, and parameter optimization are performed externally and transmitted to the implant, thereby distributing the computational burden.
Solution Approach 2:
An external computing device or cloud platform serves as an intermediary between the subject and the implant device. This intermediary handles complex computations, analyzes monitoring data, determines optimal therapy parameters, and communicates adjustments to the implant, thereby offloading computational demands from the implant device.
3Reliability
If continuous monitoring and reprogramming is implemented, then treatment efficacy improves, but the energy consumption of the implant device increases
Solution Approach 1:
The system dynamically adjusts the balance between monitoring intensity and energy conservation. Rather than continuous high-power operation, the system monitors continuously at low power and performs intensive computation externally, thereby maintaining treatment efficacy while preserving battery life.
Solution Approach 2:
An external device acts as an intermediary that performs energy-intensive computations and data processing. The implant device transmits raw data and receives processed results, thereby minimizing its own energy consumption while enabling continuous monitoring and adaptive therapy.
Data Source
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AI summary
Methods and systems are provided for updating neuromodulation-therapy algorithms. Sensor data may be received from a subject monitoring device that includes one or more sensors. A state of the subject within a directed-cyclic state diagram may be retrieved along with a current neuromodulation-therapy algorithm that corresponds to the state. Based on the sensor data and the current neuromodulation-therapy algorithm, a new state of the subject may be determined, the new state including an update to the current neuromodulation-therapy algorithm for the subject. In response to determining the new state, a wireless transmission that includes an identification of the new state and the update neuromodulation-therapy algorithm may be initiated to the implant device associated with the subject.