Personalized Neuromodulation Systems with AI, IoT, Blockchain, and Novel Materials
Legal Citation
Summary of the Inventive Concept
This inventive concept integrates cutting-edge technologies to create a novel, personalized neuromodulation system, enhancing treatment outcomes for patients with various mental health conditions.
Background and Problem Solved
The original patent disclosed a targeted neuromodulation system, but it lacked the power of synergistic combinations with other technologies. This new inventive concept addresses the limitations of the original patent by incorporating AI, IoT, blockchain, and novel materials to create a more effective and secure system.
Detailed Description of the Inventive Concept
The system comprises a wearable brain-computer interface (BCI) device, a cloud-based AI engine, and a blockchain-based secure data storage system. The AI engine analyzes brain activity data from the BCI device and generates a personalized stimulation target, which is securely stored and shared with authorized healthcare providers via the blockchain-based system. Additionally, the system may include an IoT-enabled TMS device and a real-time brain activity monitoring system, enabling real-time optimization of therapy outcomes. Furthermore, the use of novel materials, such as graphene-based electrodes, enhances signal quality and accuracy of stimulation target generation.
Novelty and Inventive Step
The new claims introduce the integration of AI, IoT, blockchain, and novel materials with the original targeted neuromodulation system, providing a synergistic combination that enhances the system's effectiveness, security, and personalization capabilities.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different AI algorithms, varying blockchain architectures, or incorporating other novel materials. Variations may also include adapting the system for different mental health conditions or integrating with other medical devices.
Potential Commercial Applications and Market
This inventive concept has significant commercial potential in the neuromodulation therapy market, particularly in the treatment of mental health conditions such as major depressive disorder. The integration of AI, IoT, blockchain, and novel materials provides a competitive advantage in terms of effectiveness, security, and personalization, making it an attractive solution for healthcare providers and patients.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B34/20 |
| A | A61 | A61B5/0036 |
| A | A61 | A61B5/055 |
| A | A61 | A61N1/20 |
| A | A61 | A61N1/36096 |
| A | A61 | A61N2/006 |
| G | G01 | G01R33/4806 |
| G | G01 | G01R33/5608 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Neuromodulation and brain stimulation technologies, encompassing medical imaging, neurological treatment systems, and advanced computational methods for analyzing brain activity and generating personalized therapeutic interventions
Person of Ordinary Skill (PHOSITA) Profile
A skilled practitioner with expertise in neuroscience, biomedical engineering, machine learning, and medical device design, possessing knowledge of brain imaging techniques, AI-driven medical technologies, and personalized treatment methodologies
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating AI, IoT, blockchain, and advanced materials into the existing neuromodulation framework represents a predictable application of known technologies to enhance personalized brain stimulation therapies. The PTD's variations systematically address limitations in the source patent by introducing computational intelligence, secure data management, and improved signal acquisition techniques. These extensions represent logical technological progressions that would be apparent to a skilled practitioner seeking to optimize neurological treatment systems.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,275 |
|---|---|
| Title | Systems and methods for targeted neuromodulation |
| Assignee(s) | The Board of Trustees of the Leland Stanford Junior University |