Personal health monitoring system, multiple user health monitoring system, and method
Inventors
Delbeke, Danaë • Van Schuylenbergh, Koenraad • Pollet, Wim • ORDONEZ ORELLANA, Juan Sebastian • Nijlunsing, Rutger
Assignees
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Publication Number
US-11992310-B2
Publication Date
2024-05-28
Expiration Date
Abstract
The present invention relates to a personal health monitoring system including an implantable sensor and a monitoring device. The present invention further relates to a multiple user health monitoring system including a plurality of such personal health monitoring systems. The present invention further relates to a method of monitoring the biological parameters of at least one user.
Core Innovation
The invention relates to a personal health monitoring system that uses an implantable single-chip optical sensor with optical sensing means for continuously sensing biological parameters in bodily fluids of a user. The biological parameters comprise at least a glucose concentration and a ketone bodies concentration, and sensor data comprises glucose concentration data points and ketone bodies concentration data points. An implantable optical processor processes the sensor data, and a first wireless transceiver transmits the processed sensor data to a monitoring device.
The monitoring device includes a display for displaying a personal health profile and a second wireless transceiver for communicating with the implantable system to receive the processed sensor data. The implantable optical processor includes an algorithm executable thereon to determine in real-time first trends in glucose concentration data points and second trends in ketone bodies concentration data points, determine in-real time fat and glucose metabolism information based on the glucose and ketone bodies concentration data points, and generate a prediction of ketoacidosis based on the fat and glucose metabolism information.
The algorithm detects in real-time first user dependent multivariate correlations between information in the glucose trends and information in the ketone trends, and generates in real-time the personal health profile based on the user dependent multivariate correlations, the fat and glucose metabolism information, and including the ketoacidosis prediction. The system determines in real-time recommendations or suggestions based on the generated personal health profile, and the monitoring device communicates the recommendations or suggestions to the user on a user interface of the display when intervention is required, the recommendations or suggestions being aimed at improving the user’s health.
Claims Coverage
The document provides two independent claims covering a personal health monitoring system and a method to generate a personal health profile. The claims define implantable single-chip optical sensing and processing, real-time trend and multivariate correlation analysis, ketoacidosis prediction, profile generation, and real-time recommendation delivery on a display upon required intervention.
Implantable single-chip optical glucose and ketone sensing with wireless transmission
An implantable single-chip optical sensor having optical sensing means for continuously sensing biological parameters in bodily fluids, with the biological parameters comprising at least glucose concentration and ketone bodies concentration, producing processed sensor data transmitted via a first wireless transceiver.
Real-time trends, fat-and-glucose metabolism information, and ketoacidosis prediction in an implantable algorithm
An implantable optical processor equipped with an algorithm executable thereon to determine in real-time first trends in glucose concentration data points and second trends in ketone bodies concentration data points, determine in-real time fat and glucose metabolism information based on the glucose concentration data points and ketone bodies concentration data points, and generate a prediction of ketoacidosis based on the fat and glucose metabolism information.
User dependent multivariate correlations for personal health profile generation
An implantable optical processor algorithm executable thereon to detect in real-time user dependent multivariate correlations between information in the glucose trends and information in the ketone trends, and to generate in real-time the personal health profile based on the user dependent multivariate correlations, the fat and glucose metabolism information, and including the ketoacidosis prediction.
Real-time recommendations communicated on a monitoring device interface upon required intervention
A monitoring device configured to receive the processed sensor data via a second wireless transceiver, and to communicate in real-time to the user the determined recommendations or suggestions on a user interface of a display when intervention is required, the recommendations or suggestions being aimed at improving the user’s health.
Method for generating a personal health profile from implantable optical sensor measurements
A method to generate a personal health profile that measures glucose concentration data points and ketone bodies concentration data points using an optical sensing means of an implantable single-chip optical sensor, determines real-time first trends and second trends in the glucose and ketone data points, determines in-real time fat and glucose metabolism information based on the data points, generates a prediction of ketoacidosis based on the fat and glucose metabolism information, detects in real-time user dependent multivariate correlations between the trend information, generates the personal health profile including the ketoacidosis prediction, determines real-time recommendations or suggestions based on the generated profile, transmits the determined recommendations or suggestions to a monitoring device, and communicates in real-time to the user on a user interface when intervention is required, the recommendations or suggestions being aimed at improving the user’s health.
Across the two independent claims, the core coverage is implantable single-chip optical sensing of glucose and ketone bodies with an executable on-implant algorithm that computes real-time trends, derives fat and glucose metabolism information, predicts ketoacidosis, detects user dependent multivariate correlations, generates a personal health profile including the ketoacidosis prediction, and provides real-time recommendations displayed to the user upon required intervention.
Stated Advantages
Determines real-time recommendations or suggestions aimed at improving the user’s health when intervention is required.
Generates a personal health profile including a prediction of ketoacidosis based on real-time fat and glucose metabolism information.
Detects in real-time user dependent multivariate correlations between glucose trends and ketone trends.
Documented Applications
A personal health monitoring use case that continuously measures glucose concentration and ketone bodies concentration in bodily fluids and displays a personal health profile with real-time ketoacidosis prediction and recommendations on a monitoring device display.
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