Enhanced Analyte Concentration Alert Function for Analyte Sensor Systems

Publication ID: 24-11857350_0006_PTD
Published: October 28, 2025
Category:Direct Improvements & Enhancements

Legal Citation

pr1or.art Inc., “Enhanced Analyte Concentration Alert Function for Analyte Sensor Systems,” Published Technical Disclosure No. 24-11857350_0006_PTD, Published October 28, 2025, available at https://archive.pr1or.art/24-11857350_0006_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. 11,857,350.

Summary of the Inventive Concept

The present inventive concept discloses an improved analyte concentration alert function for analyte sensor systems, incorporating acceleration data to enhance the accuracy and reliability of glucose concentration value calculations, and providing more effective alerts for users.

Background and Problem Solved

The original patent described an analyte concentration alert function for analyte sensor systems, which relied solely on analyte data for calculating glucose concentration values. However, this approach had limitations, such as potential inaccuracies due to user movement. The present inventive concept addresses this limitation by incorporating acceleration data from an accelerometer, enabling more accurate glucose concentration value calculations and improved alert functionality.

Detailed Description of the Inventive Concept

The enhanced analyte concentration alert function comprises an analyte sensor, an accelerometer, a processor, and a notification module. The analyte sensor generates glucose data, while the accelerometer generates acceleration data corresponding to user movement. The processor calculates a glucose concentration value based on both the glucose data and acceleration data. The notification module then generates an alert when the calculated glucose concentration value falls below a predetermined threshold and the acceleration data indicates a sudden change in movement. Additionally, the system may incorporate a machine learning module to learn the user's activity patterns and adapt the alert threshold accordingly, or a haptic feedback module to provide a tactile alert to the user.

Novelty and Inventive Step

The present inventive concept introduces the novel combination of acceleration data and machine learning algorithms to improve the accuracy and reliability of glucose concentration value calculations. This innovation enables more effective alerts for users, providing a significant improvement over the original patent.

Alternative Embodiments and Variations

Alternative embodiments may include incorporating additional sensors, such as heart rate or skin conductance sensors, to further enhance the accuracy of glucose concentration value calculations. Variations may also include different notification methods, such as audible or vibrational alerts, or integration with other health monitoring systems.

Potential Commercial Applications and Market

The enhanced analyte concentration alert function has significant commercial potential in the healthcare industry, particularly for individuals with diabetes. The improved accuracy and reliability of glucose concentration value calculations can lead to better health outcomes and increased user confidence. The market for this inventive concept is substantial, with potential applications in wearable devices, mobile health monitoring systems, and telemedicine platforms.

CPC Classifications

SectionClassGroup
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

Field of Art

Medical device technology, specifically diabetes monitoring systems with sensor integration, biosensing, and wearable health tracking devices. Requires expertise in biomedical engineering, sensor design, signal processing, and medical electronics

Person of Ordinary Skill (PHOSITA) Profile

A biomedical engineer with graduate-level training, experienced in designing medical sensor systems, familiar with wearable technology, signal processing algorithms, and medical device integration techniques

Obviousness Rationale

A person of ordinary skill would recognize that incorporating machine learning and additional sensor data into an existing glucose monitoring system represents a predictable technological improvement. The source patent's foundational design of combining accelerometer and glucose sensor data provides a clear technical framework for further refinement. The proposed variations represent incremental engineering enhancements that would be apparent to a skilled practitioner seeking to improve medical monitoring accuracy.

Obvious Combinations & Variations

Source Patent Element
Analyte sensor system with accelerometer for generating movement data
PTD Variation
Adding machine learning module to adapt alert thresholds based on user activity patterns
Obviousness Reasoning
Applying machine learning to sensor data is a known technique for improving predictive accuracy, representing a standard design optimization approach in medical sensor systems
Source Patent Element
Glucose concentration calculation using accelerometer data
PTD Variation
Incorporating additional physiological sensors like heart rate or skin conductance
Obviousness Reasoning
Multimodal sensor fusion is a predictable method for enhancing measurement precision, with finite known approaches for integrating complementary sensor data
Source Patent Element
Display device interface for generating alerts
PTD Variation
Adding haptic feedback module for tactile alert generation
Obviousness Reasoning
Expanding alert modalities is an obvious design choice with well-established implementation techniques in wearable medical technology
Source Patent Element
Analyte sensor system with movement-correlated data processing
PTD Variation
Dynamic alert threshold adjustment based on detected movement patterns
Obviousness Reasoning
Context-aware alert mechanisms represent a straightforward engineering solution for improving medical monitoring system responsiveness
35 U.S.C. § 103 Summary: Based on US Patent 11857350's foundational teachings, the present publication demonstrates that the claimed variations in analyte monitoring systems would have been obvious to a person of ordinary skill in the art at the time of invention. The disclosed technical improvements represent predictable engineering extensions utilizing known techniques in sensor integration, machine learning, and medical device design, thereby establishing prima facie obviousness under 35 U.S.C. ยง 103.

Original Patent Information

Patent NumberUS 11,857,350
TitleAnalyte concentration alert function for analyte sensor system
Assignee(s)Senseonics, Incorporated