Integrated Medical Device System for Enhanced Electrical Stimulation Therapy

Publication ID: 24-11857793_0003_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Integrated Medical Device System for Enhanced Electrical Stimulation Therapy,” Published Technical Disclosure No. 24-11857793_0003_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857793_0003_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. 11,857,793.

Summary of the Inventive Concept

This inventive concept integrates cutting-edge technologies, such as blockchain, IoT, AI, and machine learning, with medical devices to enhance electrical stimulation therapy by optimizing treatment parameters, ensuring secure data exchange, and predicting patient response.

Background and Problem Solved

The original patent, 'Managing storage of sensed information', addresses the need for efficient storage and analysis of evoked compound action potential (ECAP) information in medical devices. However, it has limitations in terms of data security, personalized treatment, and predictive analytics. The new inventive concept overcomes these limitations by integrating distinct technologies to create a more powerful system.

Detailed Description of the Inventive Concept

The system comprises a blockchain-based decentralized data storage module for secure storage of ECAP information, IoT-enabled sensors for tracking patient posture and activity, and a neural network-based processing module for analyzing ECAP information and generating personalized stimulation profiles. The system also includes AI-driven predictive analytics for adjusting stimulation parameters, machine learning-based predictive models for forecasting patient response, and encryption circuitry for secure data transmission.

Novelty and Inventive Step

The new inventive concept introduces the synergistic combination of blockchain, IoT, AI, and machine learning technologies with medical devices, providing a novel and non-obvious solution for enhancing electrical stimulation therapy. The inventive step lies in the integration of these distinct technologies to create a more powerful system that addresses the limitations of the original patent.

Alternative Embodiments and Variations

Alternative embodiments of the inventive concept could include the use of other distributed ledger technologies, different machine learning algorithms, or various IoT-enabled sensors. Variations could also include the integration of additional technologies, such as natural language processing or computer vision, to further enhance the system's capabilities.

Potential Commercial Applications and Market

The inventive concept has significant commercial potential in the medical device industry, particularly in the areas of electrical stimulation therapy, patient monitoring, and personalized medicine. The target market includes medical device manufacturers, healthcare providers, and patients requiring electrical stimulation therapy.

Field of Art

Medical device technology, specifically neural stimulation systems with signal processing and data management capabilities, requiring advanced electrical engineering, biomedical engineering, and signal processing expertise

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with expertise in neural stimulation devices, signal processing techniques, electrical circuit design, and familiarity with emerging technologies like machine learning and blockchain

Obviousness Rationale

A PHOSITA would recognize that integrating contemporary technologies like blockchain, AI, and IoT with existing medical device signal processing systems represents a predictable technological evolution. The source patent's foundational ECAP information management framework provides a clear technical foundation for extending functionality through advanced computational techniques. The proposed variations represent logical extensions of existing medical device technological capabilities using well-understood integration strategies.

Obvious Combinations & Variations

Source Patent Element
Processing circuitry configured to receive and analyze ECAP information signals
PTD Variation
Neural network-based processing module for analyzing ECAP information and generating personalized stimulation profiles
Obviousness Reasoning
Machine learning techniques for signal analysis are a known predictable solution for enhancing medical device signal processing, representing an obvious design improvement using standard computational techniques
Source Patent Element
Memory storage for ECAP information
PTD Variation
Blockchain-based decentralized data storage module for secure ECAP information management
Obviousness Reasoning
Blockchain represents a standard emerging technology for secure distributed data storage, offering a predictable enhancement to existing medical device data management approaches
Source Patent Element
Sensing circuitry for collecting stimulation signals
PTD Variation
IoT-enabled sensors for tracking patient posture and activity to dynamically adjust stimulation parameters
Obviousness Reasoning
Integrating additional sensor modalities for contextual data collection is a known technique for improving medical device responsiveness and personalization
Source Patent Element
Electrical stimulation delivery system
PTD Variation
AI-driven predictive analytics for adjusting stimulation parameters based on patient response modeling
Obviousness Reasoning
Adaptive stimulation parameter optimization through machine learning represents a standard evolutionary approach to improving medical device performance using well-understood computational techniques
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857793 and the disclosed technical variations, a person of ordinary skill in the art would find the proposed medical device system extensions obvious and predictable. The integration of blockchain, IoT, AI, and machine learning technologies with existing neural stimulation signal processing represents a logical and non-inventive technological progression that would be readily conceived by a skilled practitioner in the field.

Original Patent Information

Patent NumberUS 11,857,793
TitleManaging storage of sensed information
Assignee(s)Medtronic, Inc.