Adaptive Neurostimulation System for Real-time MRI/EMI Interference Mitigation

The proposed inventive concept revolutionizes neurostimulation therapy by integrating real-time MRI/EMI interference monitoring and adaptive stimulation parameter adjustment, ensuring optimal therapy delivery and enhanced patient safety.

The original patent (U.S. patent application Ser. No. 16/401,971) addressed the challenge of regulating current to provide active emulation of passive discharge in the presence of MRI/EMI interference. However, it relied on a fixed current regulator biased by a floating power supply. The new inventive concept addresses the limitations of this approach by introducing a real-time adaptive system that dynamically adjusts stimulation parameters in response to changing MRI/EMI interference conditions.

The proposed system comprises a plurality of electrodes, including an active electrode configured to adaptively adjust its stimulation parameters based on real-time MRI/EMI interference monitoring. The system utilizes a neural network-based predictive model trained on a dataset of patient-specific brain activity patterns and MRI/EMI interference data to anticipate and mitigate interference. A closed-loop feedback mechanism enables real-time adjustment of stimulation parameters based on MRI/EMI interference monitoring and patient-specific brain activity patterns. The system can generate personalized stimulation profiles based on a patient's unique brain activity patterns and adaptively adjust the stimulation parameters in real-time.

The new inventive concept introduces the novel concept of real-time adaptive neurostimulation, which is not anticipated by the original patent. The use of a neural network-based predictive model, closed-loop feedback mechanism, and personalized stimulation profiles based on patient-specific brain activity patterns represents a significant departure from the fixed current regulator approach of the original patent.

Alternative embodiments of the inventive concept could include the use of different types of sensors or antennas to detect MRI/EMI interference, or the integration of additional features such as machine learning-based optimization of stimulation parameters. Variations of the system could be designed for specific applications, such as deep brain stimulation or spinal cord stimulation.

The proposed inventive concept has significant commercial potential in the neurostimulation therapy market, particularly in the areas of pain management, movement disorders, and psychiatric disorders. The system's ability to provide optimal therapy delivery and enhanced patient safety could lead to widespread adoption in hospitals and clinics, as well as in outpatient settings.