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LastUpdate Última actualización 02/08/2025 [06:54:00]
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BLOOD GLUCOSE LEVEL MEASUREMENT DEVICE

NºPublicación:  WO2025141628A1 03/07/2025
Solicitante: 
NGK INSULATORS LTD [JP]
\u65E5\u672C\u788D\u5B50\u682A\u5F0F\u4F1A\u793E

Resumen de: 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

NºPublicación:  AU2025204350A1 03/07/2025
Solicitante: 
BAXTER INT INC
BAXTER HEALTHCARE SA
Baxter International Inc,
Baxter Healthcare SA
AU_2025204350_A1

Resumen de: 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

NºPublicación:  US2025213146A1 03/07/2025
Solicitante: 
MUJEEB U RAHMAN MUHAMMAD [US]
NAZARI MEISAM HONARVAR [US]
SENCAN MEHMET [US]
MUJEEB-U-RAHMAN MUHAMMAD,
NAZARI MEISAM HONARVAR,
SENCAN MEHMET
AU_2022337136_PA

Resumen de: 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.

IMPROVED USER INTERFACE TO ENABLE ACCURATE MEDICATION CALCULATIONS WITH UNCONNECTED DEVICES

NºPublicación:  WO2025145062A1 03/07/2025
Solicitante: 
ABBOTT DIABETES CARE INC [US]
ABBOTT DIABETES CARE INC

Resumen de: WO2025145062A1

Disclosed herein are system, method, and computer program product embodiments for calculating accurate doses for medication using improved user interface features that may be implemented as part of an application operating within a continuous glucose monitoring system. The disclosed interface provides an improved user experience when a medication delivery device is disconnected or does not have the ability to query the requisite data.

SYSTEMS AND METHODS FOR ENABLING AND DISABLING INSULIN PUMPS IN A MULTI-PUMP INSULIN PUMP SYSTEM

NºPublicación:  WO2025141541A1 03/07/2025
Solicitante: 
TANDEM DIABETES CARE SWITZERLAND SARL [CH]
TANDEM DIABETES CARE SWITZERLAND S\u00C0RL
US_2025213784_A1

Resumen de: WO2025141541A1

Systems and methods are provided for enabling and disabling insulin pumps in a multi- pump insulin pump system. For example, multiple pumps (e.g., patch pumps) may be rotated to deliver insulin to a user. In one example, one patch pump may be worn while another patch pump is charging. Once the battery of the patch pump worn by the user is depleted, a mobile device may cause the enabled pump in operation and worn by the user to send the latest pump settings and configuration data to the mobile device which will share the information with the disabled pump. The disabled pump will then update the pump settings based on this information and the mobile device may active the pump such that is now enabled for insulin delivery. The mobile device may also facilitate pairing between the patch pumps and a CGM device as they enabled for use and disabled.

DIABETES MONITORING VIA FOOT PRESSURE ANALYSIS

NºPublicación:  WO2025140911A1 03/07/2025
Solicitante: 
LUXEMBOURG INSTITUTE OF SCIENCE AND TECH [LU]
LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY

Resumen de: WO2025140911A1

A method performed by a computer system for monitoring diabetes and comprising: a model explainability phase, comprising steps of: - collecting specific foot data from at least one sensor disposed at least within a shoe insole of a user, - collecting a plurality of trained machine learning models configured for decision-making in diabetes diagnosis based on a plurality of collected data, - based on the plurality of trained machine learning models, generating a plurality of specific machine learning models, said specific machine learning models being specified for decision-making in diabetes diagnosis based on the specific foot data, and a model reliability assessment phase, comprising steps of: - evaluating a reliability of each of the specific machine learning model based on neutrosophic sets and intuitionistic fuzzy sets, - based on the result of the evaluation step, selecting the optimized machine learning model for monitoring diabetes based on the specific foot data.

COMPRESSION EVENT DETECTION AND PREVENTION

NºPublicación:  WO2025144547A1 03/07/2025
Solicitante: 
DEXCOM INC [US]
DEXCOM, INC

Resumen de: WO2025144547A1

A continuous analyte monitoring system includes analyte sensors configured to sense analytes such as lactate and glucose in the tissue of a user. A controller is coupled to the analyte sensors and configured evaluate first samples of outputs of a first analyte sensor and second samples of outputs of a second analyte sensor to determine whether the first samples and the second samples indicate compression of the tissue. The controller compensates for the compression of the tissue with respect to the first samples. A force sensor may be used and may be positioned between a circuit board and a housing, the circuit board supported by supports providing preloading of the force sensor. A force deflector may be used to direct loads away from tissue holding the analyte sensors. A housing may have a flexible lower surface to reduce loading of the tissue.

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

NºPublicación:  US2025213147A1 03/07/2025
Solicitante: 
WELLDOC INC [US]
Welldoc, Inc
AU_2024278555_A1

Resumen de: 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

NºPublicación:  US2025213145A1 03/07/2025
Solicitante: 
SINGULAR WINGS MEDICAL CO LTD [TW]
SINGULAR WINGS MEDICAL CO., LTD
EP_4574023_PA

Resumen de: 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

NºPublicación:  US2025213202A1 03/07/2025
Solicitante: 
UNIV OF LOUISIANA AT LAFAYETTE [US]
UNIVERSITY OF LOUISIANA AT LAFAYETTE
US_2021145370_A1

Resumen de: 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.

COMPRESSION EVENT DETECTION AND PREVENTION

NºPublicación:  US2025213191A1 03/07/2025
Solicitante: 
DEXCOM INC [US]
Dexcom, Inc

Resumen de: US2025213191A1

A continuous analyte monitoring system includes analyte sensors configured to sense analytes such as lactate and glucose in the tissue of a user. A controller is coupled to the analyte sensors and configured evaluate first samples of outputs of a first analyte sensor and second samples of outputs of a second analyte sensor to determine whether the first samples and the second samples indicate compression of the tissue. The controller compensates for the compression of the tissue with respect to the first samples. A force sensor may be used and may be positioned between a circuit board and a housing, the circuit board supported by supports providing preloading of the force sensor. A force deflector may be used to direct loads away from tissue holding the analyte sensors. A housing may have a flexible lower surface to reduce loading of the tissue.

BODY ATTACHABLE UNIT FOR CONTINUOUS BLOOD GLUCOSE MEASUREMENT

NºPublicación:  US2025213155A1 03/07/2025
Solicitante: 
I SENS INC [KR]
I-SENS, INC
EP_4552558_PA

Resumen de: US2025213155A1

The present disclosure relates to a body attachment unit for continuous blood glucose measurement, in which the body attachment unit is manufactured so as to be assembled in an applicator, thereby minimizing additional work and allowing attachment of the body attachment unit to a body simply by operation of the applicator. In particular, a wireless communication chip is provided in the body attachment unit to enable communication with an external terminal, thereby enabling simple and convenient use without performing additional work of connecting a separate transmitter, and allowing easier maintenance. In addition, activation occurs by a user's operation after the body attachment unit is attached to the body, such that an activation start point in time can be adjusted to an appropriate point in time according to the user's needs, and activation occurs in a stabilized state, thereby providing the body attachment unit allowing more accurate blood glucose measurement.

EXTENDED WEAR INFUSION SET WITH INCREASED INSULIN PRESERVATIVE RETENTION

NºPublicación:  US2025213785A1 03/07/2025
Solicitante: 
TANDEM DIABETES CARE INC [US]
Tandem Diabetes Care, Inc
US_2025213785_A1

Resumen de: US2025213785A1

Disclosed herein are improved infusion sets that incorporate halogenated siloxane materials within the composition of an infusion set septum. Such configurations maintain the mechanical robustness of using elastomeric materials for a fluidic septum while providing barrier properties that prevent phenolic preservative from being absorbed out of the infusion set. Infusion sets as disclosed herein are particularly suitable for maintaining insulin's anti-microbial effectiveness over extended wear (e.g., 7 days) to maintain performance of the infusion set during extended wear and reduce the risk of insulin aggregate propagation.

Systems and Methods for Enabling and Disabling Insulin Pumps in a Multi-Pump Insulin Pump System

NºPublicación:  US2025213784A1 03/07/2025
Solicitante: 
TANDEM DIABETES CARE SWITZERLAND SARI [CH]
Tandem Diabetes Care Switzerland S\u00E0ri
US_2025213784_A1

Resumen de: US2025213784A1

Systems and methods are provided for enabling and disabling insulin pumps in a multi-pump insulin pump system. For example, multiple pumps (e.g., patch pumps) may be rotated to deliver insulin to a user. In one example, one patch pump may be worn while another patch pump is charging. Once the battery of the patch pump worn by the user is depleted, a mobile device may cause the enabled pump in operation and worn by the user to send the latest pump settings and configuration data to the mobile device which will share the information with the disabled pump. The disabled pump will then update the pump settings based on this information and the mobile device may active the pump such that is now enabled for insulin delivery. The mobile device may also facilitate pairing between the patch pumps and a CGM device as they enabled for use and disabled.

MINIMALLY INVASIVE GLUCOSE FORECASTING SYSTEMS, DEVICES, AND METHODS

NºPublicación:  US2025218600A1 03/07/2025
Solicitante: 
SYNCHNEURO INC [US]
SynchNeuro, Inc
WO_2023183798_PA

Resumen de: US2025218600A1

Glucose forecasting systems and methods that include a minimally invasive scalp-worn behind-the-ear EEG device that includes first and second sensors. With an application on a personal device, analyzing the processed EEG signals with a trained forecasting model and forecasting future glucose levels, of the subject; causing the personal device to visually present on a display information that is indicative of the forecasted future glucose levels.

LIFESTYLE IMPROVEMENT ASSISTANCE SYSTEM AND LIFESTYLE IMPROVEMENT ASSISTANCE PROGRAM

NºPublicación:  US2025218565A1 03/07/2025
Solicitante: 
NATIONAL UNIV CORPORATION TOKAI NATIONAL HIGHER EDUCATION AND RESEARCH SYSTEM [JP]
NATIONAL UNIVERSITY CORPORATION TOKAI NATIONAL HIGHER EDUCATION AND RESEARCH SYSTEM
WO_2023182396_A1

Resumen de: US2025218565A1

The present disclosure provides a technology capable of appropriately supporting improvement of an individual's lifestyle. The lifestyle improvement support system is provided with an acquisition device capable of acquiring from a target person at least their blood glucose level data, physical activity data, and dietary activity data, as well as a controlling device.

SYSTEMS AND METHODS FOR CONTINUOUS GLUCOSE MONITORING OUTCOME PREDICTIONS

NºPublicación:  US2025218598A1 03/07/2025
Solicitante: 
WELLDOC INC [US]
Welldoc, Inc
US_2025014760_PA

Resumen de: US2025218598A1

Methods and devices include predicting future glucose and engagement levels for a user by receiving the user's glucose levels collected by a continuous glucose monitoring (CGM) device over a time period, receiving engagement data associated with the user, wherein the engagement data are associated with the user's medication intake, diet, physical activity, laboratory results, and education activity, determining a first glycemia risk index (GRI) value, determining, using a machine learning model and responsive to the user's glucose levels and the engagement data collected over the time period, one or more predictions for future glucose levels for the user including a prediction that a future GRI value is greater than or less than the first GRI value, and determining, using the machine learning model and responsive to the user's engagement data collected over the time period, one or more predictions for future engagement levels.

SENSOR APPLICATOR ASSEMBLY FOR BLOOD GLUCOSE METER

NºPublicación:  AU2023415787A1 03/07/2025
Solicitante: 
I SENS INC
I-SENS, INC
AU_2023415787_PA

Resumen de: AU2023415787A1

The present invention provides a sensor applicator assembly for a blood glucose meter, comprising: an applicator; and a body attachment unit which is disposed in the applicator, and which is composed of a housing including an upper frame and a lower frame, wherein the lower frame has a recessed part formed along the entire circumferential section thereof.

DIABETES MANAGEMENT SYSTEM WITH ALERT STATUS INTERFACE AND PATIENT PRIORITIZATION

NºPublicación:  ES3031042T3 03/07/2025
Solicitante: 
HOFFMANN LA ROCHE
F. Hoffmann-La Roche AG
US_2019013091_A1

Resumen de: US2019013091A1

User interfaces are needed to alert and inform a person suffering from diabetes or a healthcare provider of possible harmful changes in the patient's blood glucose level. An improved method is presented for issuing an alert regarding a glucose condition of a patient by a diabetes management system. For a given patient, their glucose condition is quantified and presented as a state on a display. Glucose conditions can also be prioritized for a plurality of patients and presented to a healthcare provider.

EXTENDED WEAR INFUSION SET WITH INCREASED INSULIN PRESERVATIVE RETENTION

NºPublicación:  WO2025145024A1 03/07/2025
Solicitante: 
TANDEM DIABETES CARE INC [US]
TANDEM DIABETES CARE, INC
US_2025213785_A1

Resumen de: WO2025145024A1

Disclosed herein are improved infusion sets that incorporate halogenated siloxane materials within the composition of an infusion set septum. Such configurations maintain the mechanical robustness of using elastomeric materials for a fluidic septum while providing barrier properties that prevent phenolic preservative from being absorbed out of the infusion set. Infusion sets as disclosed herein are particularly suitable for maintaining insulin's anti-microbial effectiveness over extended wear (e.g., 7 days) to maintain performance of the infusion set during extended wear and reduce the risk of insulin aggregate propagation.

SYSTEMS AND METHODS FOR CALCULATING INSULIN ON BOARD IN INFUSION PUMP SYSTEMS

NºPublicación:  WO2025145037A1 03/07/2025
Solicitante: 
TANDEM DIABETES CARE INC [US]
TANDEM DIABETES CARE, INC

Resumen de: WO2025145037A1

Disclosed herein are portable infusion pump systems that provide an ability to simultaneously track insulin on board from insulin deliveries from different sources and/or of different types. A user interface can be provided to enable the user to enter insulin delivered from a source other than the portable infusion pump. A simplified calculation for estimating IOB remaining from each insulin delivery enables such calculations to be carried out with the limited memory and processing capacity of the portable infusion pump.

SYSTEM AND METHOD FOR INCORPORATING EXERCISE INTO CLOSED-LOOP DIABETES THERAPY

NºPublicación:  WO2025145056A1 03/07/2025
Solicitante: 
TANDEM DIABETES CARE INC [US]
TANDEM DIABETES CARE, INC

Resumen de: WO2025145056A1

Disclosed herein are apparatuses and methods that account for exercise in closed loop insulin delivery systems. The apparatuses and methods disclosed herein address exercise-induced glucose level increases by reducing the target IOB within the closed loop. By reducing the target IOB, the algorithm responds less aggressively to pre-exercise food, and does not build up the IOB that could potentially contribute to undesirably low glucose levels once the exercise also begins lowering glucose levels. Following exercise, because the user's body will not immediately transition to a pre-exercise state, the algorithm will gradually transition back to the initial target IOB.

BLOOD GLUCOSE MANAGEMENT METHOD, USER INTERFACE, AND RELATED APPARATUS

NºPublicación:  WO2025140661A1 03/07/2025
Solicitante: 
HUAWEI TECH CO LTD [CN]
\u534E\u4E3A\u6280\u672F\u6709\u9650\u516C\u53F8
CN_120236750_PA

Resumen de: WO2025140661A1

A blood glucose management method, a user interface, and a related apparatus. The blood glucose management method comprises: on the basis of historical blood glucose levels of a user, determining a first mealtime; on the basis of one or more of a mealtime inputted by the user, and body movements and the heart rate of the user, determining a second mealtime; on the basis of the first mealtime and the second mealtime, determining a third mealtime; and assessing a blood glucose health status of the user by means of the third mealtime. Historical mealtimes of a user that are determined using multiple methods are combined to predict a mealtime of the user, so that an electronic device can more accurately assess a blood glucose situation of the user.

MEASUREMENT METHOD, SYSTEM, AND RELATED APPARATUS

NºPublicación:  WO2025140653A1 03/07/2025
Solicitante: 
HUAWEI TECH CO LTD [CN]
\u534E\u4E3A\u6280\u672F\u6709\u9650\u516C\u53F8
CN_120227022_PA

Resumen de: WO2025140653A1

The present application discloses a measurement method, a system, and a related apparatus. The method is applied to a first electronic device, wherein the first electronic device comprises a first electrode set and a second electrode set; the distance between the first electrode set and the second electrode set is greater than a first distance; and under the condition that the first electrode set and the second electrode set are implanted into subcutaneous tissue, the method comprises: determining a first physiological parameter by means of the first electrode set; and determining an electrocardiogram signal by means of the first electrode set and the second electrode set. In this way, an electrocardiogram signal of a user can be acquired by the first electronic device anytime and anywhere, and any one or more of other physiological parameters (such as blood glucose, blood ketone, blood lactate, and uric acid) of the user can also be measured, thereby improving the health monitoring efficiency.

Diabetes monitoring via foot pressure analysis

Nº publicación: LU505951B1 30/06/2025

Solicitante:

LUXEMBOURG INSTITUTE OF SCIENCE AND TECH LIST [LU]
LUXEMBOURG INSTITUTE OF SCIENCE AND TECHNOLOGY (LIST)

LU_505951_PA

Resumen de: LU505951B1

A method performed by a computer system for monitoring diabetes and comprising: a model explainability phase, comprising steps of: - collecting specific foot data from at least one sensor disposed at least within a shoe insole of a user, - collecting a plurality of trained machine learning models configured for decision-making in diabetes diagnosis based on a plurality of collected data, - based on the plurality of trained machine learning models, generating a plurality of specific machine learning models, said specific machine learning models being specified for decision-making in diabetes diagnosis based on the specific foot data, and a model reliability assessment phase, comprising steps of: - evaluating a reliability of each of the specific machine learning model based on neutrosophic sets and intuitionistic fuzzy sets, - based on the result of the evaluation step, selecting the optimized machine learning model for monitoring diabetes based on the specific foot data.

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