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152
resultados
Última actualización
20/09/2024 [07:01:00]
Resumen de: US2024306951A1
The present disclosure provides a method for monitoring a health parameter of a person in which a system receives data that corresponds to a digital pulse wave signal that is generated from radio frequency data that corresponds to radio waves that have responded from below the skin surface of a person, wherein the radio frequency data is collected through a three-dimensional array of receive antennas, the receive antennas are located at various locations to the transmit antennas, and determines a value that corresponds to a blood glucose level in the person in response to the data that corresponds to the digital pulse wave signal.
Resumen de: US2024312591A1
The present disclosure relates to systems and methods for controlling physiological glucose concentrations in a patient.
Resumen de: US2024312631A1
Techniques and systems include assessing health risk and predicting health events of a patient using measured biosignals. The biosignals may be transformed into a photoplethysmography (PPG) signal or pseudo PPG signal, for example, to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Further, the biosignals can include vocal signals, health labels, and self-reported data related to a patient's health. Assessment and prediction techniques include training an artificial intelligence (AI) model to create embedding vectors based on the measured biosignal(s) that are then ingested by a prediction model to assess and/or predict a patient's health risk and/or health events.
Resumen de: US2024307006A1
The technologies discussed herein relate to a biometrics system comprising one or more processors, computer storage memory having computer-executable instructions, surgically implantable devices, and wearables (e.g., an apparel item configured for an upper torso, an apparel item configured for a lower torso, a sock, a headband, other types of wearables, or one or more combinations thereof) having one or more biometric sensors (e.g., a heart rate sensor, a sweat sensor, a glucose sensor, other types of biometric sensors, or one or more combinations thereof) and one or more sensation devices (e.g., a plurality of visible light sources, a haptic feedback device, other types of sensation devices, or one or more combinations thereof). The wearables may also include one or more environmental sensors. The wearables emulate, transmogrify, or enhance one or more human senses using the one or more sensation devices based on biometric data or environmental data received.
Resumen de: US2024307003A1
A method for generating training data for use in monitoring a health parameter of a person in which a waveform database of glucose waveforms and health parameters is created. The device receives a pulse wave signal that is generated from radio frequency scanning data that corresponds to radio waves that have responded from below the skin surface of a person, wherein the radio frequency scanning data is collected through a two-dimensional array of receive antennas over a range of radio frequencies. Then at least one of the pulse wave signals is extracted in response to using convolution matching to the waveform database to generate an extracted signal. Then the data is labeled corresponding to the extracted signal with a corresponding blood glucose level to generate training data.
Resumen de: US2024307618A1
Exemplary embodiments provide an approach to predicting meal and/or exercise events for an insulin delivery system that otherwise does not otherwise identify such events. The insulin delivery system may use a model of glucose insulin interactions that projects estimated future glucose values based on the history of glucose values and insulin deliveries for the user. The predictions of meal events and/or exercise events may be based on residuals between actual glucose values and predicted glucose values. The exemplary embodiments may calculate a rate of change of the residuals over a period of time and compare the rate of change to thresholds to determine whether there likely has been a meal event or an exercise event. The insulin delivery system may then take measures to account for the meal or exercise by the user.
Resumen de: US2024306953A1
The present disclosure relates to a continuous blood sugar measuring device, and provides a continuous blood sugar measuring device which is capable of minimizing additional work of a user in order to attach a body attachment unit, by manufacturing the body attachment unit to be assembled inside an applicator so that the body attachment unit can be attached to the body simply by operating the applicator and, particularly: communicating with an external terminal by providing a wireless communication chip in the body attachment unit so that simple and convenient use is possible and maintenance can easily be performed without the additional work of connecting a separate transmitter; initiating operation by a manipulation of the user, after attaching the body attachment unit to the body, so that an operation initiation time can be adjusted to a suitable time according to the need of the user; and initiating operation in a stabilized state to enable a more accurate measurement of blood sugar.
Resumen de: US2024307617A1
One or more embodiments of the disclosure relate, generally, to a diabetes management system. The diabetes management system may include a computing device that is configured to receive data relating to prior insulin use of a user and calculate a sliding scale glucose correction based, at least in part, on the data relating to prior insulin use.
Resumen de: US2024306955A1
The present disclosure relates to a continuous blood sugar measuring device, and provides a continuous blood sugar measuring device which is capable of minimizing additional work of a user in order to attach a body attachment unit, by manufacturing the body attachment unit to be assembled inside an applicator so that the body attachment unit can be attached to the body simply by operating the applicator and, particularly: communicating with an external terminal by providing a wireless communication chip in the body attachment unit so that simple and convenient use is possible and maintenance can easily be performed without the additional work of connecting a separate transmitter; initiating operation by a manipulation of the user, after attaching the body attachment unit to the body, so that an operation initiation time can be adjusted to a suitable time according to the need of the user; and initiating operation in a stabilized state to enable a more accurate measurement of blood sugar.
Resumen de: US2024306950A1
A method for monitoring a signal that corresponds to blood glucose level. The method includes transmitting by one or more transmitting (TX) antennas, active RF radio waves below the skin surface of a user, and receiving radio waves on one or more receiving (RX) antennas. The received radio waves include a response portion of the transmitted radio waves. Further, the method includes collecting signals in response to receiving the radio waves on one or more RX antennas; modifying the signals to filter out certain frequencies bands not associated with glucose waveforms; sending the signals to a network processing module; and receiving a blood glucose level from the network processing module in response to the signals.
Resumen de: US2024312590A1
A system for providing dose recommendations of a first and second type of insulin to a user device is described. The system includes a data storage configured to store a medical prescription, measurement values of the blood glucose level, and dose values of the first type of insulin; and one or more processors coupled to the data storage and configured to determine a next dose value of the first type of insulin based on the measurement values, the dose values of the first type of insulin, and dose adjustment rules specified by the prescription: cause a display, on a user interface of the user device, the next dose value of the first type of insulin: determine a next dose value of the second type of insulin based on the dose maintenance rule; and cause a display, on the user interface, the next dose value of the second type of insulin.
Resumen de: US2024306949A1
Digital and graphical user interfaces for multi-analyte monitoring systems are provided. For example, disclosed herein are various embodiments of methods, systems, and interfaces for alarm interfaces, alarm settings interfaces, alarm unavailability interfaces and features, and sensor results interfaces. Various embodiments of interfaces relating to glucose and ketone sensing are disclosed herein.
Resumen de: US2024306954A1
The present disclosure relates to a continuous blood sugar measuring device, and provides a continuous blood sugar measuring device which is capable of minimizing additional work of a user in order to attach a body attachment unit, by manufacturing the body attachment unit to be assembled inside an applicator so that the body attachment unit can be attached to the body simply by operating the applicator and, particularly: communicating with an external terminal by providing a wireless communication chip in the body attachment unit so that simple and convenient use is possible and maintenance can easily be performed without the additional work of connecting a separate transmitter; initiating operation by a manipulation of the user, after attaching the body attachment unit to the body, so that an operation initiation time can be adjusted to a suitable time according to the need of the user; and initiating operation in a stabilized state to enable a more accurate measurement of blood sugar.
Resumen de: CN118215435A
In some examples, a system for monitoring glucose includes a processing circuit and a glucose monitor including one or more monitoring electrodes and one or more working electrodes wherein a first chemical stack is disposed on at least one of the monitoring electrodes and a second chemical stack is disposed on at least one of the working electrodes. And a second chemical stack disposed on at least one of the working electrodes. The processing circuitry may be configured to measure one or more calibration values of an operating parameter of the monitoring electrode; retrieving one or more pre-calibration values of the operating parameter of the monitoring electrode, wherein the pre-calibration value is measured prior to the calibration value; one or more delta values are determined using the calibration value and the pre-calibration value, and a glucose value sensed by the working electrode is calibrated using the delta values.
Resumen de: US2024304324A1
Provided are methods, devices and systems for determining blood glucose levels using a voice sample and associated embodiments. The analysis of voice samples using a statistical classifier was demonstrated to discriminate between subjects with different blood glucose levels. The described embodiments provide an easy-to-use and non-invasive alternative or supplement to conventional blood glucose monitors. The described embodiments can be integrated into various applications for providing information to users or medical professionals such as information related to diabetes or prediabetes.
Resumen de: US2024304336A1
Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes using defined mathematical models of short term risk (STR) and longer term risk of progression. The evaluations can stratify risk for patients having the same glucose measurement, particularly those with intermediate or low (normal) fasting plasma glucose (FPG) values. The STR or IR (insulin resistance) model(s) may include an inflammatory biomarker such as an NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject. Embodiments of the invention also provide methods, systems and circuits that generate STR scores as a marker of beta-cell dysfunction or impairment.
Resumen de: US2024304305A1
Disclosed herein are techniques related to product consumption recommendations. In some embodiments, the techniques may involve determining, based on glucose data of a user and activity data indicating movement of the user during an activity, a recommendation associated with a consumption of a product by the user to maintain a glucose level within a target range during the activity, and, in response to the recommendation indicating that the consumption of the product is recommended, providing the recommendation to the user.
Resumen de: US2024304319A1
Disclosed are systems and methods for providing automated or semi-automated technical support for patients using medical devices, such as continuous glucose monitoring systems. Disclosed embodiments of automated tech support system include collection and storage of copies of streams of medical device data on multiple servers, analysis and comparison of data streams, remote tech support initiation and usage of the automated tech support system for providing improved products and services by storing and analyzing historical tech support data.
Resumen de: US2024304327A1
It is disclosed a blood glucose prediction system and method. According to one example embodiment, the blood glucose prediction system may include a learning modeling unit for learning a blood glucose variability inference model to infer a correlation between a physical indicator and blood glucose variability, and learning a blood glucose inference model to infer a correlation between sugar of saliva and blood glucose; a target information acquiring unit for acquiring a physical indicator and sugar of saliva of a target; a blood glucose variability estimating unit for estimating blood glucose variability of the target by using the blood glucose variability inference model with the physical indicator of the target as an input parameter; and a blood glucose predicting unit for predicting blood glucose of the target by using the blood glucose inference model with the sugar of the saliva and the estimated blood glucose variability of the target as an input parameter.
Resumen de: US2024298941A1
Embodiments of the invention provide amperometric analyte sensors having optimized elements such as interference rejection membranes, and associated architectures, as well as methods for making and using such sensors. While embodiments of the innovation can be used in a variety of contexts, typical embodiments of the invention include glucose sensors used in the management of diabetes.
Resumen de: US2024298936A1
Systems and methods are disclosed for non-invasively measuring blood glucose levels in a biological sample based on spectral data. This includes utilizing at least one light source configured to strike a target area of a sample, utilizing at least one light filter positioned to receive light transmitted through the target area from the at least one light source, utilizing at least one light detector positioned to receive light from the at least one light source and filtered by the at least one light filter, and to generate an output signal, having a time dependent current, which is indicative of the power of light detected, receiving the output signal from the at least one light detector with a processor and based on the received output signal, calculating the attenuance attributable to blood in a sample with a signal-to-noise ratio of at least 20-to-1; and determining a blood glucose level.
Resumen de: US2024298934A1
A method for detecting and treating lung inflammation. The method includes acquiring a sputum sample from a person suspected to have a lung inflammation, measuring a level of glucose in the sputum sample, detecting lung inflammation status of the person based on the measured level of glucose, and treating the person with a detected lung inflammation by prescribing anti-inflammatory medications to the person based on a clinician's advice. Detecting the lung inflammation status of the person includes detecting no lung inflammation if the measured level of glucose is less than a minimum threshold glucose concentration, or detecting a lung inflammation if the measured level of glucose is equal to or more than a maximum threshold glucose concentration, or detecting a probable lung inflammation if the measured level of glucose is between the minimum threshold glucose concentration and the maximum threshold glucose concentration.
Resumen de: WO2024186147A1
This method for analyzing the state of a user by using ketone body information comprises steps in which an analysis device: acquires ketone body information of the user; calculates state information of the user on the basis of the ketone body information of the user; and visualizes the calculated state information of the user and outputs same. The ketone body information includes information about the concentration of ketone body included in the exhalation of the user measured using a ketone body measurer. The state information of the user includes at least one from among body fat change amount of the user, weight change amount of the user, blood glucose level of the user, and cholesterol content of the user.
Resumen de: AU2024216338A1
A method of calculating at least one physiological parameter using a reticulocyte production index (RPI) value can include: measuring a plurality of first glucose levels over a first time period; measuring a first glycated hemoglobin (HbAlc) level corresponding to an end of the first time period; measuring the RPI value; calculating a red blood cell elimination constant (kage) based on the RPI value; and calculating the at least one physiological parameter selected from the group consisting of: a red blood cell glycation rate constant (kgiy), a red blood cell generation rate constant (kgen), and an apparent glycation constant (K), based on (1) the plurality of first glucose levels, (2) the first HbAlc level, and (3) the kage. Further, one or more related analyses (e.g., personalized target glucose range, personalized-target average glucose, cHbAlc, and the like) can be estimated and/or adjusted based on the at least one physiological parameter.
Nº publicación: AU2023227868A1 12/09/2024
Solicitante:
INSULET CORP
INSULET CORPORATION
Resumen de: AU2023227868A1
Disclosed herein is a combination of an automated insulin delivery system and a continuous glucose monitor integrated into a single, wearable package. The system may use any combination of delivery methods and detection methods, wherein the delivery methods include a cannula, a microneedle array, and a transdermal patch, and wherein the detection methods include electrochemical methods, opto-fluorescent methods, and spectrographic methods.
BOPI
Sede Electrónica
