Synergistic Analyte Monitoring System

Publication ID: 24-11857344_0008_PTD
Published: October 28, 2025
Category:Synergistic Combinations

Legal Citation

pr1or.art Inc., “Synergistic Analyte Monitoring System,” Published Technical Disclosure No. 24-11857344_0008_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857344_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. 11,857,344.

Summary of the Inventive Concept

A novel system integrating microneedle array-based continuous analyte monitoring devices with distinct technologies like AI, IoT, blockchain, and new materials to enhance fault detection, security, and predictive analytics.

Background and Problem Solved

The original patent addresses the need for continuous analyte monitoring, particularly for diabetic patients. However, it has limitations in detecting faults, ensuring data security, and predicting analyte levels. The new inventive concept solves these problems by incorporating synergistic combinations of technologies to create a more powerful and efficient system.

Detailed Description of the Inventive Concept

The system consists of a microneedle array-based sensor, an IoT-enabled communication module, a sensor data analytics module utilizing machine learning algorithms, and a blockchain-based health data storage system. The sensor data analytics module identifies anomalies in sensor data and transmits alerts to the user's mobile device. The blockchain-based system securely stores sensor data in a decentralized manner. Additionally, the system includes an artificial intelligence-powered predictive analytics module that generates predictions of future analyte levels based on machine learning algorithms. A secure authentication module utilizing biometric data ensures the security of the system.

Novelty and Inventive Step

The new inventive concept's novelty lies in the synergistic integration of distinct technologies, which provides a more comprehensive and efficient analyte monitoring system. The inventive step is the combination of machine learning algorithms, blockchain technology, and IoT-enabled communication modules with microneedle array-based sensors, resulting in a system that detects faults, ensures data security, and predicts analyte levels more effectively.

Alternative Embodiments and Variations

Alternative embodiments may include integrating the system with other wearable devices, utilizing different machine learning algorithms, or incorporating additional security measures. Variations may include using different types of sensors or data analytics modules, or applying the system to other health monitoring applications.

Potential Commercial Applications and Market

The synergistic analyte monitoring system has significant commercial potential in the healthcare industry, particularly in the fields of diabetes management, wearable devices, and health data analytics. The system's ability to provide more accurate and secure analyte monitoring data can improve patient outcomes and reduce healthcare costs.

CPC Classifications

SectionClassGroup
A A61 A61B5/685
A A61 A61B5/14514
A A61 A61B5/14532

Field of Art

Medical device technology, specifically continuous analyte monitoring systems, focusing on electrochemical sensing, sensor fault detection, and data processing for chronic disease management

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer or medical device designer with expertise in electrochemical sensors, signal processing, data analytics, and experience with wearable medical monitoring technologies

Obviousness Rationale

A PHOSITA would recognize that integrating advanced data processing, communication, and security technologies with the foundational microneedle array sensor represents a predictable technological evolution. The source patent's fault detection methodology naturally suggests expanding sensor capabilities through intelligent data analysis and communication strategies. The proposed variations represent standard engineering approaches to enhancing medical monitoring systems by leveraging contemporary technologies like machine learning, IoT, and blockchain.

Obvious Combinations & Variations

Source Patent Element
Fault detection mechanism using counter electrode voltage and sensing current correlation
PTD Variation
Machine learning algorithms for anomaly detection in sensor data
Obviousness Reasoning
Extending fault detection through advanced statistical analysis is a predictable application of known machine learning techniques to existing sensor fault detection methodologies
Source Patent Element
Electrochemical sensing for continuous analyte monitoring
PTD Variation
IoT-enabled communication module for real-time data transmission
Obviousness Reasoning
Integrating wireless communication with medical sensors is a standard design choice for enabling remote monitoring and data collection
Source Patent Element
Microneedle array-based sensor for glucose monitoring
PTD Variation
Blockchain-based secure health data storage system
Obviousness Reasoning
Implementing enhanced data security through distributed ledger technologies represents a known approach for protecting sensitive medical information
Source Patent Element
Electrochemical sensing current generation
PTD Variation
AI-powered predictive analytics module for future analyte level predictions
Obviousness Reasoning
Applying machine learning to historical sensor data for predictive modeling is a standard technique in medical monitoring technologies
Source Patent Element
Sensor-based monitoring device
PTD Variation
Biometric authentication module for device security
Obviousness Reasoning
Implementing user authentication through biometric technologies is a predictable security enhancement for personal medical devices
35 U.S.C. § 103 Summary: Based on the teachings of US Patent 11857344 and the disclosed technical variations, a Person Having Ordinary Skill In The Art would find the proposed system extensions obvious and lacking inventive step. The combination of microneedle array sensing technologies with machine learning, IoT communication, blockchain storage, and biometric authentication represents predictable technological improvements that would be readily conceived by a skilled practitioner in the field of continuous analyte monitoring systems.

Original Patent Information

Patent NumberUS 11,857,344
TitleFault detection for microneedle array based continuous analyte monitoring device
Assignee(s)Biolinq Incorporated