Intelligent Analyte Monitoring System with AI, IoT, and Blockchain Integration
Legal Citation
Summary of the Inventive Concept
An advanced analyte monitoring system that integrates artificial intelligence, IoT, and blockchain technologies to provide real-time predictive models of future analyte concentrations, ensuring enhanced accuracy and security for users.
Background and Problem Solved
The original patent disclosed an analyte concentration alert function for an analyte sensor system, but it had limitations in terms of data analysis, security, and real-time monitoring capabilities. The new inventive concept addresses these limitations by incorporating AI, IoT, and blockchain technologies to provide a more comprehensive and secure system for analyte monitoring.
Detailed Description of the Inventive Concept
The system consists of an analyte sensor generating analyte data, an artificial intelligence module analyzing the data and generating predictive models of future analyte concentrations, and a blockchain-based secure data storage module for storing and sharing the analyte data and predictive models. Additionally, the system may include an IoT-enabled communication module transmitting the analyte data to a cloud-based server, and a server-side analytics module analyzing the data and generating real-time alerts for potential hypoglycemic events. The system can also integrate a wearable device with a MEMS-based accelerometer generating acceleration data, and a machine learning module analyzing the analyte data and acceleration data to predict future analyte concentrations and generate alerts.
Novelty and Inventive Step
The new claims introduce the novel integration of AI, IoT, and blockchain technologies with the original analyte sensor system, providing a synergistic combination that enhances the accuracy, security, and real-time monitoring capabilities of the system. The inventive step lies in the unexpected combination of these distinct technologies to create a more powerful and comprehensive system for analyte monitoring.
Alternative Embodiments and Variations
Alternative embodiments of the inventive concept may include the use of different AI algorithms, varying IoT communication protocols, or alternative blockchain architectures. Additionally, the system could be adapted for monitoring other types of analytes or integrating with other health-related devices.
Potential Commercial Applications and Market
The Intelligent Analyte Monitoring System has significant commercial potential in the healthcare industry, particularly in the diabetes management and wearable technology markets. The system's enhanced accuracy, security, and real-time monitoring capabilities make it an attractive solution for users seeking more effective and reliable analyte monitoring solutions.
CPC Classifications
| Section | Class | Group |
|---|---|---|
| A | A61 | A61B5/746 |
| A | A61 | A61B5/0002 |
| A | A61 | A61B5/0004 |
| A | A61 | A61B5/01 |
| A | A61 | A61B5/1112 |
| A | A61 | A61B5/1118 |
| A | A61 | A61B5/145 |
| A | A61 | A61B5/1459 |
| A | A61 | A61B5/14532 |
| A | A61 | A61B5/7282 |
| A | A61 | A61B5/742 |
| A | A61 | A61B5/7405 |
| A | A61 | A61B5/7455 |
| A | A61 | A61B5/0533 |
| A | A61 | A61B5/14503 |
| A | A61 | A61B5/6898 |
| A | A61 | A61B5/7203 |
| A | A61 | A61B2562/0219 |
Section 103 Obviousness Analysis (PHOSITA)
Field of Art
Medical Device Technology, Specifically Diabetes Monitoring Systems, Involving Sensor Technologies, Data Analysis, and Wearable Health Monitoring Devices
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device technologist with expertise in sensor design, data analytics, machine learning, and healthcare IoT systems, holding advanced degrees in bioengineering or electrical engineering with 3-5 years of industry experience in medical monitoring technologies
Obviousness Rationale
A person having ordinary skill in the art would recognize that integrating artificial intelligence, IoT communication, and blockchain technologies into an existing analyte monitoring system represents a predictable combination of known techniques in medical device technology. The source patent's foundational work on analyte sensing and acceleration data analysis provides a clear technological framework that would naturally invite incremental improvements through emerging digital technologies. A PHOSITA would understand that enhancing sensor systems with AI predictive modeling and secure data transmission represents an expected evolutionary step in medical monitoring device development.
Obvious Combinations & Variations
Original Patent Information
| Patent Number | US 11,857,350 |
|---|---|
| Title | Analyte concentration alert function for analyte sensor system |
| Assignee(s) | Senseonics, Incorporated |