Personalized Pain Management System Based on Real-time Brain Activity Analysis

A novel system that leverages machine learning, wearable EEG/MEG sensors, and real-time brain activity analysis to provide personalized pain management, enabling more effective and adaptive therapy settings.

The original patent disclosed a method for pain management based on brain activity monitoring. However, it had limitations in terms of personalization, adaptability, and real-time responsiveness. The new inventive concept addresses these limitations by integrating machine learning, wearable sensors, and real-time analysis to provide a more effective and adaptive pain management system.

The system comprises a wearable EEG/MEG sensor array, a microcontroller, and a wireless transmitter. The sensor array detects brain activity signals, which are processed by the microcontroller to generate a personalized pain susceptibility score. This score is transmitted to a neuromodulation system, which adjusts therapy settings in real-time based on the score. The system can be trained using a deep learning algorithm and a patient population's brain activity data, enabling it to learn patterns indicative of pain susceptibility and improve over time.

The new inventive concept's novelty lies in its integration of machine learning, wearable sensors, and real-time analysis to provide personalized pain management. The inventive step is the use of a predictive model of pain susceptibility based on brain activity signals to adjust therapy settings in real-time, which is not anticipated by the original patent.

Alternative embodiments include using different types of sensors, such as functional near-infrared spectroscopy (fNIRS) or magnetoencephalography (MEG), or incorporating additional data sources, such as cardiovascular or respiratory signals. Variations may include using different machine learning algorithms or adapting the system for use in different therapeutic applications.

The inventive concept has significant commercial potential in the pain management market, which is expected to grow to $10 billion by 2025. The system's adaptability and personalization capabilities make it an attractive solution for patients and healthcare providers seeking more effective pain management solutions.