Personalized Neuromodulation Systems with Adaptive Stimulation

A neuromodulation system that uses machine learning and real-time brain activity analysis to personalize and optimize brain stimulation therapy for individual patients, improving treatment outcomes and reducing side effects.

The original patent for targeted neuromodulation systems had limitations in terms of stimulation frequency, intensity, and target selection. The new inventive concept addresses these limitations by incorporating machine learning algorithms, real-time brain activity analysis, and adaptive stimulation to provide more effective and personalized treatment for patients with mental conditions.

The new inventive concept consists of a neuromodulation system with a processor and memory containing a targeting application. The targeting application uses machine learning algorithms to analyze patient brain data and stimulation response history to identify a patient-specific optimal stimulation frequency and intensity. The system can adjust stimulation intensity in real-time based on the patient's brain activity and stimulation response. Additionally, the system can generate a 3D model of the patient's brain and identify stimulation targets within the model. The machine learning algorithm can be trained on a dataset of brain activity and stimulation response from a plurality of patients, enabling the system to learn from experience and improve treatment outcomes.

The new inventive concept's use of machine learning algorithms to personalize stimulation frequency and intensity, combined with real-time brain activity analysis and adaptive stimulation, represents a significant improvement over the original patent. The incorporation of a 3D brain model and stimulation target identification within the model is also a novel aspect of the invention.

Alternative embodiments of the inventive concept could include using different machine learning algorithms, such as deep learning neural networks, or incorporating additional data sources, such as genetic data or behavioral metrics, to further personalize treatment. The system could also be adapted for use in other therapeutic areas, such as pain management or neurological disorders.

The personalized neuromodulation system has significant commercial potential in the mental health treatment market, with potential applications in treating depression, anxiety, and other mental conditions. The system could also be marketed to hospitals, clinics, and research institutions, providing a competitive advantage in terms of treatment outcomes and patient satisfaction.