Advanced Analyte Concentration Alert System with Predictive Analytics
Legal Citation
Summary of the Inventive Concept
An innovative system for predicting future analyte concentration alerts using machine learning models, wearable devices, and environmental data integration, enabling personalized insights and proactive healthcare management.
Background and Problem Solved
The original patent's analyte concentration alert function, although effective, relies on real-time acceleration data and lacks the ability to predict future alerts. This limitation can lead to delayed interventions and suboptimal healthcare outcomes. The new inventive concept addresses this issue by incorporating machine learning models, environmental data, and wearable devices to provide proactive and personalized analyte concentration alerts.
Detailed Description of the Inventive Concept
The advanced system consists of a machine learning model trained on historical analyte data and acceleration data, a wearable device configured to receive the historical data and generate predictions of future analyte concentration alerts, and a notification module for alerting the user. Additionally, the system integrates environmental data from sensors measuring temperature, humidity, and air quality, enabling correlations and personalized insights. The wearable device features an analyte sensor, accelerometer, machine learning module, and haptic feedback module for tactile alerts.
Novelty and Inventive Step
The new claims introduce the novel concept of predictive analytics in analyte concentration alert systems, leveraging machine learning models and environmental data to generate proactive alerts. This inventive step marks a significant departure from the original patent's reactive approach, providing a more comprehensive and forward-thinking solution.
Alternative Embodiments and Variations
Alternative embodiments may include the use of different machine learning algorithms, incorporation of additional environmental sensors, or integration with electronic health records. Variations may also involve adapting the system for use with different types of analytes or expanding the notification module to include additional alert methods.
Potential Commercial Applications and Market
The advanced analyte concentration alert system has significant commercial potential in the healthcare industry, particularly in the management of chronic conditions such as diabetes. The system's predictive capabilities and personalized insights can improve healthcare outcomes, reduce costs, and enhance the overall quality of life for patients. Target markets may include healthcare providers, pharmaceutical companies, and medical device manufacturers.
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 wearable analyte monitoring systems with sensor integration and data processing, involving biomedical engineering, electronic sensing, and machine learning techniques for health monitoring
Person of Ordinary Skill (PHOSITA) Profile
A biomedical engineer or medical device designer with expertise in sensor systems, data analytics, machine learning, and physiological monitoring technologies, possessing advanced knowledge of wearable health monitoring devices and signal processing techniques
Obviousness Rationale
A person having ordinary skill would recognize that extending the source patent's analyte sensor and acceleration data system to incorporate predictive machine learning models represents a natural technological progression. The PTD's innovations leverage existing sensor architectures and data processing techniques to create a more advanced, proactive monitoring approach. The integration of environmental data and machine learning represents an incremental improvement using standard techniques available in the medical device and data analytics domains.
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 |