Personalized Brain Activity-Based Pain Management Systems with Real-Time Feedback

Publication ID: 24-11857794_0006_PTD

Published: October 28, 2025

Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Personalized Brain Activity-Based Pain Management Systems with Real-Time Feedback,” Published Technical Disclosure No. 24-11857794_0006_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857794_0006_PTD

This technical disclosure describes improvements that would be readily apparent to a Person Having Ordinary Skill In The Art (PHOSITA) when considered in combination with the foundational architecture disclosed in U.S. Patent No. 11,857,794.

Summary of the Inventive Concept

The inventive concept enhances pain management by incorporating machine learning, real-time patient feedback, and advanced neural interface technologies to optimize neuromodulation therapy settings for individual patients, improving treatment efficacy and efficiency.

Background and Problem Solved

The original patent, 'Pain management based on brain activity monitoring', provided a foundation for using brain activity signals to guide neuromodulation therapy. However, it had limitations in terms of optimizing therapy settings for individual patients and incorporating real-time feedback. The new inventive concept addresses these limitations by integrating machine learning, advanced neural interface technologies, and real-time patient feedback to create a more personalized and adaptive pain management system.

Detailed Description of the Inventive Concept

The new inventive concept consists of a neural interface module to receive brain activity signals, a processing module to calculate a brain activity score, and a neuromodulation module to deliver therapy settings based on the score. Additionally, the system incorporates a machine learning module to optimize the therapy settings based on patient feedback, a wearable EEG sensor for convenient signal acquisition, and a mobile application to provide real-time patient feedback. The system can also adapt to individual patients' brain activity patterns over time, ensuring a more personalized treatment approach.

Novelty and Inventive Step

The new inventive concept introduces the novel combination of machine learning, real-time patient feedback, and advanced neural interface technologies to optimize neuromodulation therapy settings for individual patients. This integration of components provides a non-obvious solution to the limitations of the original patent, resulting in a more efficient and effective pain management system.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include using different types of neural interface technologies, such as magnetoencephalography (MEG) or functional near-infrared spectroscopy (fNIRS), or incorporating additional sensors to monitor other physiological parameters. Variations could also include using different machine learning algorithms or incorporating additional feedback mechanisms, such as electromyography (EMG) or electrooculography (EOG) signals.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the pain management market, particularly in the areas of chronic pain treatment and personalized medicine. The system's ability to provide real-time feedback and adapt to individual patients' needs could lead to increased treatment efficacy and patient satisfaction, making it an attractive solution for healthcare providers and patients alike.

Section 103 Obviousness Analysis (PHOSITA)

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Field of Art

Biomedical engineering, neurostimulation, and pain management technologies, with expertise in neural signal processing, medical device design, and adaptive therapeutic systems

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or neurotechnology specialist with advanced degrees, experience in neural interface design, signal processing algorithms, and medical device development, familiar with neuromodulation techniques and machine learning applications in medical treatments

Obviousness Rationale

A PHOSITA would recognize that the PTD's integration of machine learning, real-time feedback, and adaptive neural interface technologies represents predictable extensions of the source patent's core pain management methodology. The disclosed variations systematically address known limitations in neuromodulation by introducing personalization and dynamic therapy optimization techniques. These enhancements would be considered obvious improvements within the established technological framework of brain activity-based pain management systems.

Obvious Combinations & Variations

Source Patent Element

Brain activity signal-based neuromodulation method for pain management

PTD Variation

Adding machine learning module to optimize therapy settings based on patient feedback

Obviousness Reasoning

Applying machine learning to medical device optimization is a known technique, representing a predictable solution to improve treatment personalization with expected and beneficial results

Source Patent Element

EEG and MEG signal monitoring for neuromodulation

PTD Variation

Incorporating wearable EEG sensor and mobile application for real-time patient interaction

Obviousness Reasoning

Integrating patient-facing technologies with medical monitoring is a standard design approach in medical device development, representing an obvious enhancement to existing neural interface systems

Source Patent Element

Neuromodulation therapy delivered to neural targets

PTD Variation

Implementing closed-loop feedback mechanism to dynamically adjust therapy settings

Obviousness Reasoning

Adaptive therapeutic systems are well-established in medical technologies, representing a finite and predictable solution for improving treatment precision and patient outcomes

Source Patent Element

Brain activity signal processing for therapy determination

PTD Variation

Developing high-density sensor arrays and advanced signal processing algorithms

Obviousness Reasoning

Incremental improvements in sensor technology and signal processing are routine engineering developments that would be obvious to a skilled practitioner seeking enhanced measurement precision

Source Patent Element

Neuromodulation targeting pain management

PTD Variation

Expanding neural interface technologies to include alternative monitoring methods like fNIRS

Obviousness Reasoning

Exploring alternative neural monitoring technologies represents a standard approach in medical device innovation, with predictable methods of technological substitution

35 U.S.C. § 103 Summary: Pursuant to 35 U.S.C. § 103, the variations disclosed in this Published Technical Disclosure would be considered obvious extensions of US Patent 11857794, rendering potential patent claims directed to personalized neural interface pain management systems anticipated and unpatentable. The systematic integration of machine learning, adaptive feedback mechanisms, and enhanced neural monitoring technologies represents predictable technological improvements within the established framework of brain activity-based neuromodulation methodologies.

Original Patent Information

Patent Number	US 11,857,794
Title	Pain management based on brain activity monitoring
Assignee(s)	Boston Scientific Neuromodulation Corporation