Intelligent Neuromodulation Systems with AI, IoT, and Blockchain Integration

Publication ID: 24-11857249_0008_PTD
Published: November 07, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Intelligent Neuromodulation Systems with AI, IoT, and Blockchain Integration,” Published Technical Disclosure No. 24-11857249_0008_PTD, Published November 07, 2025, available at https://archive.pr1or.art/24-11857249_0008_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. 11,857,249.

Summary of the Inventive Concept

The present inventive concept integrates AI, IoT, and blockchain technologies with neuromodulation devices to create a more effective, personalized, and secure system for monitoring and controlling neuromodulation element deployment within a body lumen.

Background and Problem Solved

The original patent relates to devices, systems, and methods for monitoring and/or controlling deployment of a neuromodulation element within a body lumen. However, the existing technology lacks the ability to provide personalized treatment planning, secure data management, and real-time adjustments. The present inventive concept addresses these limitations by incorporating AI-driven patient data analysis, IoT-enabled device control, blockchain-based data storage, and machine learning-based impedance analysis to ensure optimal energy delivery and secure data management.

Detailed Description of the Inventive Concept

The inventive concept comprises a neural network-based impedance analyzer, a blockchain-based data storage system, and an AI-powered sensor array integrated into a catheter. The impedance analyzer detects inadequate deployment and triggers a data storage event. The AI-driven patient data analysis integrates with IoT-enabled neuromodulation device control to optimize energy delivery based on individual patient characteristics. The machine learning-based impedance analysis module detects changes in tissue impedance and adjusts energy delivery in real-time. The blockchain technology ensures secure and decentralized neuromodulation data management, allowing for personalized treatment insights.

Novelty and Inventive Step

The present inventive concept is novel and non-obvious due to the integration of AI, IoT, and blockchain technologies with neuromodulation devices, providing a synergistic combination that enhances the effectiveness, personalization, and security of neuromodulation treatments. The inventive concept's use of machine learning-based impedance analysis, AI-driven patient data analysis, and blockchain-based data storage sets it apart from the original patent and existing technologies.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of different AI algorithms, IoT protocols, or blockchain architectures. Variations could also include the integration of additional sensors or devices, such as electroencephalography (EEG) or electromyography (EMG) sensors, to provide more comprehensive patient data analysis.

Potential Commercial Applications and Market

The present inventive concept has significant commercial potential in the medical device industry, particularly in the fields of neuromodulation, cardiology, and neurology. The integration of AI, IoT, and blockchain technologies could provide a competitive advantage in the market, attracting customers seeking personalized and secure neuromodulation treatments.

CPC Classifications

SectionClassGroup
A A61 A61B18/1492
A A61 A61N1/36057
A A61 A61N1/36139
A A61 A61B2018/00267
A A61 A61B2018/00404
A A61 A61B2018/00434
A A61 A61B2018/00511
A A61 A61B2018/00577
A A61 A61B2018/00875
A A61 A61B2018/00898
A A61 A61B2018/144
A A61 A61B2018/1475
A A61 A61N1/0551

Field of Art

Biomedical engineering, specifically neuromodulation technologies, medical device design, and interventional medical systems with a focus on catheter-based neural stimulation and monitoring techniques

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in neural stimulation technologies, advanced sensor integration, signal processing, and familiarity with emerging digital health technologies such as AI, IoT, and data management systems

Obviousness Rationale

A PHOSITA would recognize that integrating digital technologies like AI, IoT, and blockchain into existing neuromodulation systems represents a predictable evolution of medical device design. The source patent's focus on precise neuromodulation element deployment naturally suggests opportunities for enhanced monitoring, data collection, and personalized treatment optimization through advanced computational techniques.

Obvious Combinations & Variations

Source Patent Element
Method for detecting neuromodulation element deployment stability and measuring longitudinal shift within a vessel
PTD Variation
Neural network-based impedance analyzer that detects deployment inadequacies and triggers data storage events
Obviousness Reasoning
Extending deployment monitoring with AI-driven analysis represents a known technique for improving diagnostic precision, using machine learning to enhance existing sensor-based detection methods
Source Patent Element
Energy delivery modulation based on physical configuration and vessel characteristics
PTD Variation
AI-driven patient data analysis integrated with IoT-enabled device control to optimize energy delivery based on individual patient characteristics
Obviousness Reasoning
Personalizing treatment parameters through computational analysis is a predictable application of machine learning to existing variable energy delivery techniques
Source Patent Element
Detecting stable contact of neuromodulation element with vessel wall
PTD Variation
Blockchain-based secure data management system for storing and sharing patient neuromodulation treatment data
Obviousness Reasoning
Implementing secure, decentralized data storage for medical device information represents an obvious technological progression in digital health infrastructure
Source Patent Element
Measuring longitudinal shift and correlating with vessel inner diameter
PTD Variation
IoT-enabled sensor array detecting real-time tissue impedance changes and dynamically adjusting energy delivery
Obviousness Reasoning
Expanding sensor-based deployment monitoring to include continuous adaptive feedback is a logical extension of the source patent's measurement techniques
Source Patent Element
Method for controlling neuromodulation energy delivery based on physical configuration
PTD Variation
Machine learning-based impedance analysis module with automated notification systems for deployment verification
Obviousness Reasoning
Implementing automated diagnostic and notification systems represents a standard engineering approach to enhancing medical device monitoring capabilities
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857249 and the disclosed technological variations, a person of ordinary skill in the art would find the integration of AI, IoT, and blockchain technologies into neuromodulation systems to be an obvious and predictable extension of existing medical device design principles, thereby rendering potential patent claims in this domain obvious and unpatentable.

Original Patent Information

Patent NumberUS 11,857,249
TitleDevices, systems, and methods for monitoring and/or controlling deployment of a neuromodulation element within a body lumen and related technology
Assignee(s)Medtronic Ireland Manufacturing Unlimited Company