Alerta

SYSTEMS AND METHODS FOR HIGH FIDELITY FAST SIMULATION OF HUMAN IN THE LOOP HUMAN IN THE PLANT (HIL-HIP) SYSTEMS

Absstract of: US2025232078A1

Examples of a simulation framework are provided to evaluate time varying systems using a piecewise linear time invariant simulation (PLIS) approach. The simulation framework can be configured for an artificial pancreas wireless network system that controls blood glucose in Type 1 Diabetes patients with time varying properties such as physiological changes associated with psychological stress and meal patterns.

SYSTEMS AND METHODS OF PREDICTING AND MANAGING BLOOD GLUCOSE LEVELS IN INDIVIDUALS

Absstract of: US2025228501A1

Provided herein are systems and methods of predicting and managing blood glucose levels in individuals, including systems and methods of predicting blood glucose levels based on predicted future glucose factors. Also provided herein are systems and methods of recommending glucose interventions based thereon. It is appreciated by the present disclosure that it is better to prevent extreme blood glucose levels before they occur than merely detecting such levels when they occur. Accordingly, the systems and methods described herein utilized a combination of contextual information and current time glucose measurements/estimates to predict the likelihood of different scenarios that might lead to such extreme levels before they occur.

CLOUD-BASED PORTABLE SYSTEM FOR NON-INVASIVE REAL-TIME BLOOD GLUCOSE MEASUREMENT

Absstract of: US2025228475A1

One embodiment is a method for implementing a cloud-based portable miniaturized system for performing non-invasive blood glucose level measurement in real time. The method includes using an optical source to emit optical radiations at certain wavelengths through breath in an air collection chamber; receiving the emitted optical transmissions at a photodetector; converting the received optical transmissions to digital data; accumulating the digital data for a first time period; and periodically transmitting the accumulated digital data to a cloud service for further processing.

ANALYTE AND ENVIRONMENT SENSORS

Absstract of: US2025228478A1

Disclosed are devices, systems and methods for in vivo monitoring of localized environment conditions within a patient user by measuring analytes, including glucose, oxygen, and/or other analytes. In some aspects, a sensor device includes a wafer-based substrate, at least one electrochemical sensor two-electrode contingent including a working electrode and a reference electrode on the substrate and configured to detect a target analyte in a body fluid when the sensor device is deployed within a subject's body, where the working electrode is functionalized by a chemical layer configured to facilitate a reaction involving the target analyte that produces an electrical signal; and an electronics unit in communication with the electrochemical sensor electrode contingent to transmit the electrical signal to an external processor.

SENSOR MODEL SUPERVISOR FOR A CLOSED-LOOP INSULIN INFUSION SYSTEM

Absstract of: US2025229024A1

Techniques related to temporary setpoint values are disclosed. The techniques may involve causing operation of a fluid delivery device in a closed-loop mode for automatically delivering fluid based on a difference between a first setpoint value and an analyte concentration value during operation of the fluid delivery device in the closed-loop mode. Additionally, the techniques may involve obtaining a second setpoint value. The second setpoint value may be a temporary setpoint value to be used for a period of time to regulate fluid delivery, and the second setpoint value may be greater than the first setpoint value. The techniques may further involve causing operation of the fluid delivery device for automatically reducing fluid delivery for the period of time based on the second setpoint value.

CLOSED-LOOP ARTIFICIAL PANCREAS INSULIN INFUSION CONTROL SYSTEM

Absstract of: US2025229023A1

The invention discloses a closed-loop artificial pancreas insulin infusion control system, including: detection module, an infusion module and an electronic module, the detection module, the infusion module and the electronic module all equipped with a control unit, and each control unit is preset with a first algorithm, a second algorithm and a third algorithm correspondingly. When different priority conditions are met, different modules determine the current insulin infusion information. Therefore, the closed-loop artificial pancreas insulin infusion control system can automatically switch control units according to different situations, so as to avoid affecting the user experience and even bringing security risks to users when a module set with the control unit cannot work normally.

CATHETER INSERTION DEVICE

Absstract of: EP4585239A2

An insulin infusion system is provided with a manual insertion device having a dual retraction spring (230) configuration for automatic introducer needle (222) retraction. A button (200) of the insertion device is used to insert the introducer needle (222) and catheter (202), and once the introducer needle (222) and catheter (202) have been fully inserted, a rotating engagement releases the dual retraction springs (230) such that the introducer needle (222) automatically retracts, leaving the catheter (202) in the body of the user. An end of the introducer needle (222) remains in the inserted catheter (202) and/or in the septum (206) of the inserted catheter (202) to provide an uninterrupted fluid path.

METHOD AND SYSTEM OF PENALIZATION FOR MODEL PREDICTIVE CONTROL IN AUTOMATED INSULIN DELIVERY

Absstract of: AU2023377269A1

A method, system, and computer-readable medium are provided for an Automated Insulin Delivery (AID) system in which Model Predictive Control (MPC) thereof implements weighting of glucose target error relative to corresponding predicted blood glucose (BG) levels according to insulin on board (IOB). Accordingly, basal insulin infusion and available additional bolusing each in connection with glycemic disturbances such as unannounced meals can be proximally administered to maintain time in range (TIR) without incurring insulin stacking.

ANALYTE SENSORS AND SENSING METHODS FOR DUAL DETECTION OF GLUCOSE AND ETHANOL

Absstract of: US2025221643A1

Multiple enzymes may be present in one or more active areas of an electrochemical analyte sensor for detecting one or more different analytes. In particular, an analyte sensor may comprise a sensor tail configured for insertion into a tissue and one or more working electrodes having a glucose-responsive active area and an ethanol-responsive active area to detect glucose and ethanol in vivo.

SYSTEMS, DEVICES, AND METHODS FOR WELLNESS MONITORING WITH PHYSIOLOGICAL SENSORS

Absstract of: WO2025146479A1

Systems and methods for monitoring glucose levels of a user are described. Data indicative of glucose levels of the subject is received. A count is assigned for each glucose episode based at least on an area under the curve of the each glucose episode in a dataset of time- correlated glucose data. A running sum of counts for each glucose episode in a time period is calculated. The running sum of the counts may be displayed in a numerator of a fraction and a target count goal in a denominator of the fraction. A progress indicator representative of the running sum of the counts relative to a target count goal for the time period may also be displayed. A length of a variable portion may be proportional to the running sum of the counts, and a total length of the progress indicator may be proportional to the target count goal.

SYSTEMS, DEVICES, AND METHODS FOR WELLNESS MONITORING WITH PHYSIOLOGICAL SENSORS

Absstract of: US2025221674A1

Systems and methods for monitoring glucose variability in a subject are described. Data indicative of glucose levels of the subject is received from a sensor control device. A first glucose variability metric of the subject in a first time period is determined. The first glucose variability metric may be compared to a threshold. A first indicator is displayed if the first glucose variability metric does not exceed the threshold and a second indicator is displayed if the first glucose variability metric exceeds the threshold. Additional glucose variability metrics may be determined for subsequent time periods according to a rolling window, and the indicators may be displayed real time or in a report. The glucose variability metric may be a measure of variability compared to a baseline, a difference between a maximum and minimum glucose level, or time in or out of a target range.

ARTIFICIAL INTELLIGENCE-BASED APPARATUS AND METHOD FOR PANCREATIC FROZEN SECTION EXAMINATION AND DIAGNOSIS

Absstract of: WO2025147163A1

The present disclosure relates to an artificial intelligence-based apparatus and method for pancreatic frozen section examination and diagnosis. The apparatus comprises: a memory; and a processor including an artificial intelligence engine for the pancreatic frozen section examination and diagnosis, wherein the processor can acquire a first frozen section image of the pancreas, acquire a second frozen section image corresponding to the first frozen section image of the pancreas, and generate and provide a diagnosis result for the pancreatic frozen section examination on the basis of the first frozen section image and the second frozen section image by using the artificial intelligence engine.

Systems and Methods for Predictive Glucose Management

Absstract of: US2025221673A1

Systems and methods for predictive glucose in accordance with embodiments of the invention are illustrated. One embodiment includes glucose management device, including a brain signal recorder, and a controller, including a processor, and a memory, the memory containing a glucose monitoring application configured to direct the processor to record a brain activity signal of a user's brain using the brain signal recorder, and decode the brain activity signal to predict future glucose levels of the patient.

SYSTEMS, DEVICES, AND METHODS FOR WELLNESS MONITORING WITH PHYSIOLOGICAL SENSORS

Absstract of: US2025221639A1

Systems and methods for monitoring glucose levels of a user are described. Data indicative of glucose levels of the subject is received. A count is assigned for each glucose episode based at least on an area under the curve of the each glucose episode in a dataset of time-correlated glucose data. A running sum of counts for each glucose episode in a time period is calculated. The running sum of the counts may be displayed in a numerator of a fraction and a target count goal in a denominator of the fraction. A progress indicator representative of the running sum of the counts relative to a target count goal for the time period may also be displayed. A length of a variable portion may be proportional to the running sum of the counts, and a total length of the progress indicator may be proportional to the target count goal.

COIN-SIZED, FULLY INTEGRATED AND MINIMALLY INVASIVE CONTINUOUS GLUCOSE MONITORING SYSTEM (CGMs) BASED ON ORGANIC ELECTROCHEMICAL TRANSISTORS

Absstract of: US2025221637A1

This invention provides a coin-sized, fully integrated and wearable continuous glucose monitoring system (CGMs) via combining cutting-edge technologies from the intersecting fields of biosensors, minimally invasive tools, and hydrogels. The invention includes three major parts: 1) an emerging biochemical amplifier, the organic electrochemical transistor (OECT), to improve sensitivity beyond traditional electrochemical modules; 2) a microneedle array for interstitial-fluid (ISF) sampling with reduced pain during skin penetration; and 3) a tough, adhesive enzymatic-hydrogel-membrane to enhance reliability of glucose sensing on skin. Unlike conventional CGMs, the employed OECT amplifier empowers the CGM (OECT-CGMs) with a high anti-noise ability, an on-demand-tunable sensitivity and current regeneration ability, enabling long-term stable glucose sensing within specific clinical ranges (1 ̃20 mM). This work paves the way for the development of next-generation CGMs that can simultaneously deliver high and adjustable sensitivity, minimal invasiveness, and improved wearability.

SYSTEM AND METHOD FOR IMPROVING THE DRUG THERAPY MANAGEMENT

Absstract of: US2025226076A1

An aspect of the invention provides a method and a product for determining a modification of the therapy management by using a processor unit which retrieves few data related to the blood glucose measurement performed over a predetermined time period; retrieve the medication delivery parameter executed by the delivery device over said predetermined time period; retrieve from the memory data associated to the CIR of the patient; and determine a modification to the therapy based on at least a part of the retrieved data.

INFUSION DEVICES AND RELATED METHODS AND SYSTEMS FOR PREEMPTIVE ALERTING

Absstract of: US2025222201A1

Techniques disclosed herein relate to infusion devices and alerts. In some embodiments, the techniques may involve determining an expected glucose measurement value after delivery of a correction bolus based on an amount of the correction bolus and a current amount of active insulin in a body of a patient. The techniques may further involve obtaining a current glucose measurement value. The techniques may further involve detecting an anomalous response to the correction bolus responsive to determining that a difference between the current glucose measurement value and the expected glucose measurement value exceeds a predetermined threshold.

MULTI-HEAD CONVOLUTIONAL NETWORK FOR AVERAGE GLUCOSE PREDICTION

Absstract of: CN119731745A

Systems and methods for determining a glucose value of a user are disclosed herein. The method includes: receiving a plurality of data inputs associated with biometric data of a user, the plurality of data inputs including at least one data input representing past estimated glucose values of the user; and processing the plurality of data inputs with a multi-head temporal convolutional neural network to generate a blood glucose value for the user. The method further includes providing a notification to the user based at least in part on the blood glucose value.

RF BIOSENSING SYSTEM USING RF SENSOR INCLUDING MICRONEEDLE

Absstract of: WO2025143904A2

Disclosed is an RF biosensing system using an RF sensor including a glucose-responsive hydrogel-based microneedle. The RF biosensing system measures a sensing signal with a VNA by detecting a sensing signal by using a reader antenna and a reader antenna sensing circuit through a readout coil on the basis of RF biosensing and wireless transmission, via EM coupling between a glucose-responsive hydrogel-based microneedle, which is provided below a flexible substrate so as to be minimally invasively applied in vivo to the skin surface (on-site) of epidermis/dermis/hypodermis of the skin or to skin/fat/muscle tissue, and an RF sensor, which is positioned over the flexible substrate and uses the difference in resonant frequencies within frequencies of 400 to 3,000 MHz, and performs biosensing such as detection of proteins, glucose, and fat in the skin, on the basis of changes in the capacitance of a sensing antenna circuit (LC resonator) of the RF sensor, shifts in resonant frequencies of the LC resonator, and changes in S-parameters.

BLOOD GLUCOSE LEVEL MEASUREMENT DEVICE

Absstract of: WO2025141628A1

This blood glucose level measurement device comprises: a sensor unit that measures the blood glucose level of a user; a communication unit that transmits, to the outside, data representing the blood glucose level measured by the sensor unit; a flexible, sheet-shaped battery that supplies power to the sensor unit and the communication unit; a flexible, plate-shaped circuit unit that controls the operation of the communication unit; and a mounting unit that is configured to be mounted on the body of the user. The peak current of the battery is 20 mA or more.

Peritoneal Dialysis System with Sensors and Configured to Diagnose Peritonitis

Absstract of: AU2025204350A1

Peritoneal dialysis, such as automated peritoneal dialysis (“APD”) is provided with any one or more or all of the following sensing or feedback features: impedance sensing to detect peritonitis, temperature sensing to detect peritonitis, bio-MEMS sensing to detect peritonitis, and glucose control for diabetes patients, wherein each sensing or feedback feature analyzes patient effluent fluid or fluid dwelling within a patient’s peritoneal cavity. Peritoneal dialysis, such as automated peritoneal dialysis ("APD") is provided with any one or more or all of the following sensing or feedback features: impedance sensing to detect peritonitis, temperature sensing to detect peritonitis, bio-MEMS sensing to detect peritonitis, and glucose control for diabetes patients, wherein each sensing or feedback feature analyzes patient effluent fluid or fluid dwelling within a patient's peritoneal cavity. un u n e r i t o n e a l d i a l y s i s , s u c h a s a u t o m a t e d p e r i t o n e a l d i a l y s i s ( " " ) i s p r o v i d e d w i t h a n y o n e o r m o r e o r a l l o f t h e f o l l o w i n g s e n s i n g o r f e e d b a c k f e a t u r e s : i m p e d a n c e s e n s i n g t o d e t e c t p e r i t o n i t i s , t e m p e r a t u r e s e n s i n g t o d e t e c t p e r i t o n i t i s , b i o - s e n s i n g t o d e t e c t p e r i t o n i t i s , a n d g l u c o s e c o n t r o l f o r d i a b e t e s p a t i e n t s , w h e r e i n e a c h s e n s i n g o r f e e d b a

WIRED IMPLANTABLE MONOLITHIC INTEGRATED SENSOR CIRCUIT

Absstract of: US2025213146A1

There is provided a glucose sensor system comprising: a transmitter (2) for containing a battery (212), the transmitter being for placement on top of patient skin; a transcutaneous connector (3) comprising at least one conductive path; and an implantable monolithic integrated circuit (I) for placement beneath the patient skin, wherein the implantable monolithic integrated circuit comprises a potentiostat and an electrochemical sensing element; wherein the potentiostat is electrically coupled to the transmitter (2) via the transcutaneous connector (3), and the electrochemical sensing element is configured to sense glucose concentration and generate an electrical signal representative of the glucose concentration, and wherein the potentiostat is electrically connected to the electrochemical sensing element.

SYSTEMS AND METHODS FOR ANALYZING, INTERPRETING, AND ACTING ON CONTINUOUS GLUCOSE MONITORING DATA

Absstract of: US2025213147A1

Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.

METHOD AND COMPUTING DEVICE FOR NON-INVASIVELY ESTIMATING BLOOD GLUCOSE, DEVICE FOR NON-INVASIVELY MEASURING ELECTROCARDIOGRAM SIGNAL, AND NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM

Absstract of: US2025213145A1

A method for non-invasively estimating blood glucose for estimating a blood glucose value of a user by a computing device. The method includes receiving a plurality of electrocardiogram (ECG) waveforms of the user, extracting at least two first ECG features from each of the plurality of ECG waveforms of the user, respectively determining a first feature peak position corresponding to each of the first ECG features, calculating at least one peak distance between the plurality of the first feature peak positions, and estimating the blood glucose value of the user based on the peak distance. The first ECG features are selected from the group consisting of a P-wave, a Q-wave, an R-wave, an S-wave, a T-wave, and a U-wave. Furthermore, a computing device for non-invasively estimating blood glucose, a device for non-invasively measuring ECG signal, and a non-transitory computer readable storage medium are utilized for the method.

GLUCOSE MONITORING METHOD AND SYSTEM

Nº publicación: US2025213202A1 03/07/2025

Applicant:

UNIV OF LOUISIANA AT LAFAYETTE [US]
UNIVERSITY OF LOUISIANA AT LAFAYETTE

Absstract of: US2025213202A1

This invention provides a system and method to protect an artificial pancreas' sensor, infusion system, and alert systems from EMI/wireless attacks using a medical software or application, close the gap between sensor glucose and blood glucose, and build a non-invasive hypoglycemia and hyperglycemia false alarm detection scheme with the help of a wristband. This inventive method and system provides a more accurate blood glucose prediction. It comprises preprocessing the CGM readings with Kalman smoothing for sensor error correction improves the robustness of the BG prediction. In one or more embodiments, the inventive system and method uses one or more physiological information such as meal, insulin, aggregations of step count, and preprocessed CGM data. The invention provides a novel approach for leveraging the stacked LSTM based deep RNN model to improve the BG prediction accuracy. The invention provides a special circuits-Transduction Shield-to detect and correct the sensor errors caused by EMI attacks.