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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Resumen de: AU2023401746A1
Techniques for performing application-layer security and communication over primary invitation channels arc disclosed. In certain embodiments, analyte data is obtained from an analyte sensor electrically coupled to a sensor electronics module of an analyte sensor system. A secret key is established with a display device over one or more primary invitation channels. The analyte data is encrypted using the secret key. The encrypted analyte data is broadcast over the one or more primary invitation channels.
Resumen de: US2025210156A1
Methods and system to provide glycemic control and therapy management based on monitored glucose data, and current and/or target HbA1C levels are provided.
Resumen de: US2025204816A1
An apparatus for monitoring glucose according to an embodiment of the present invention includes an input unit that obtains first biometric information including a plurality of data points measuring glucose-related information of a subject; a noise removal unit that removes noise information included in the first biometric information; a preprocessing unit that preprocesses the first biometric information from which the noise information is removed to generate second biometric information having a lower sampling rate than the first biometric information; a compensation unit that generates compensation data based on the second biometric information and generates a calibration algorithm based on the compensation data; and a glucose level acquisition unit that acquires a glucose level related to the second biometric information by reflecting the calibration algorithm and a set time delay.
Resumen de: WO2025137110A1
Systems and methods are provided for sending a software update to an insulin pump and/or user device used with the insulin pump and selectively enabling and disabling certain functionality (e g., operations, tasks, functions, and/or features) enabled by the software update and/or settings adjusted by the software update. The software update may be in the form of a software package that is sent from a remote device to all insulin pumps or user devices on an insulin pump network. While all devices may receive the same software update it may be desirable to restrict certain functionality and/or settings for some insulin pumps and/or user devices. The insulin pump, user device associated with the insulin pump, and/or remote device in communication with the user device, may determine whether the functionality in the software update should be disabled or otherwise not enabled for a certain insulin pump and/or user device.
Resumen de: US2025204813A1
Devices, systems, and methods herein relate to managing a chronic condition such as diabetes. These systems and methods may obtain patient data from a plurality of devices, integrate the data for analysis of trends that may be presented to the patient and/or health care professional along with an actionable suggestion. In some variations, a method may include the steps of receiving analyte data generated by an analyte measurement device and patient data generated by a patient measurement device. One or more data trends may be generated by analyzing the analyte data against the patient data using a computing device. The device settings of one or more of the analyte measurement device and the computing device may be modified in response to one or more of the data trends.
Resumen de: US2025204814A1
A stretchable, conducting, and redox-active hydrogel with an interpenetrating double-network structure is provided. This structure is formed by infiltrating a brittle pure-gel conducting hydrogel with a stretchable hydrogel. Ferrocene derivatives are immobilized on the chains of the stretchable hydrogel through covalent bonds, and glucose oxidases are crosslinked to the stretchable hydrogel using a room-temperature crosslinker.
Nº publicación: US2025204815A1 26/06/2025
Solicitante:
HME SQUARE INC [KR]
HME SQUARE INC
Resumen de: US2025204815A1
The present disclosure discloses a photoacoustic diagnostic device. More specifically, the present invention relates to a photoacoustic diagnostic device that detects ultrasound waves generated by irradiating a biological surface with a laser to noninvasively determine blood sugar concentration, or the like in a biological body. According to an embodiment of the present invention, the photoacoustic diagnostic device is equipped with a membrane element manufactured by a micro electro mechanical system (MEMS) process, and instead of mounting an expensive FFT, or the like on a transducer for receiving an ultrasound wave signal radiated from a subject and detecting a resonance peak or using a spectrum analyzer, by detecting multiple resonance peaks through multiple transducers with different resonance frequencies and combining the resonance peaks to perform analysis on blood sugar, or the like, it is possible to provide analysis results with high accuracy that are easy to implement and low cost.