DIABETES MONITORING AND CONTROL TECHNOLOGY

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Resultados 151 results. LastUpdate Updated on 30/09/2022 [12:43:00] pdf PDF xls XLS

Solicitudes publicadas en los últimos 60 días / Applications published in the last 60 days



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MEDICINE INJECTION AND DISEASE MANAGEMENT SYSTEMS, DEVICES, AND METHODS

Publication No.: US2022305212A1 29/09/2022

Applicant:

BIGFOOT BIOMEDICAL INC [US]

US_2022134017_A1

Absstract of: US2022305212A1

One or more embodiments of the present disclosure may include an insulin delivery system that includes an insulin delivery device, a user interface that includes multiple user-selectable icons or buttons each representing different meal characteristics, memory to store one or more user-specific dosage parameter, and a processor in communication with the memory and adapted to receive blood glucose data. The processor may also be adapted to determine initial meal characteristics associated with each of the user-selectable icons or buttons based on at least one of the user-specific dosage parameters. The processor may also be adapted to update the meal characteristics associated with each of the user-selectable icons or buttons based upon the blood glucose data.

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THERAPY ASSIST INFORMATION AND/OR TRACKING DEVICE AND RELATED METHODS AND SYSTEMS

Publication No.: US2022305207A1 29/09/2022

Applicant:

BIGFOOT BIOMEDICAL INC [US]

US_2022072236_A1

Absstract of: US2022305207A1

A monitoring feature, such as, for example, a pen cap, for an insulin delivery device may include at least one circuit adapted to detect at least one of a capping or decapping of the pen cap from an insulin pen and a processor for using information to the at least one of a capping or decapping of the pen cap. A monitoring feature for an insulin delivery device includes at least one circuit adapted to detect use of the insulin delivery device.

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SYSTEMS AND METHODS FOR MONITORING AND TREATING DIABETIC FOOT ULCERS

Publication No.: US2022304621A1 29/09/2022

Applicant:

SMITH & NEPHEW [GB]

JP_2022533382_A

Absstract of: US2022304621A1

In some aspects, a computer-implemented method is disclosed for gathering and processing sensor data to identify a risk of impacting or causing a skin injury. The computer-implemented method can include: receiving, via a computer network, sensor feature data representing output of a user sensor configured to be worn on a limb of a user; generating activity classification model output data using the sensor feature data and an activity classification model, the activity classification model output data representing likelihoods that the sensor feature data corresponds to each of a plurality of different activity classifications; determining an activity classification from the activity classification model output data; and transmitting, via the computer network, display data representing the activity classification to a computing device configured to present the display data.

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SYSTEMS AND METHODS FOR DETECTING MISSED BOLUS DOSES

Publication No.: US2022301680A1 22/09/2022

Applicant:

LILLY CO ELI [US]

JP_2022537065_PA

Absstract of: US2022301680A1

Methods, systems and devices are provided for dynamically adjusting sensitivity of a computer-implemented detector for detecting missed insulinboluses. The disclosed methods, systems, and devices receive) glucose measurements and insulin dosing information for a user, and analyze the received information to detect whether the user may have ingested food without taking an insulin bolus. The sensitivity level of the detector may be dynamically adjusted based on contextual information regarding the) user to adjust for the users context, circumstances, and/or condition. If the detector detects a possible missed bolus, the detector may generate a user notification.)

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ASSESSING DISEASE RISKS FROM USER CAPTURED IMAGES

Publication No.: US2022301723A1 22/09/2022

Applicant:

ADVANCED HUMAN IMAGING LTD [US]

WO_2022192948_PA

Absstract of: US2022301723A1

In some examples, an apparatus, such as a mobile phone can include an input module such as a touch screen, a camera, a processor, and computer readable medium. The camera captures one or more images of a person. The processor can use a single machine learning model to estimate the human body features of the person based on the captured images, and use the human body features to generate a disease risk assessment value associated with diabetes and cardiovascular disease risks. The human body features can include at least one or more of: 3D body shape, or body shape indicators; and one or more of: blood flow, blood pressure, heart rate, respiratory rate, heart rate variability, cardiac workload, irregular heartbeats, or stress index. The machine learning model can be trained over a set of training images.

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ADAPTER FOR A FLUID TRANSFER DEVICE

Publication No.: US2022296471A1 22/09/2022

Applicant:

ZEALAND PHARMA AS [DK]

WO_2021037502_A1

Absstract of: US2022296471A1

An adapter (650) for transferring fluid between a first device (100) and a second device (800). The adapter comprises a first end (652) for receiving the first device, wherein the first end includes a side wall for locating around the first device (100). The adapter (650) further comprises a second end (654) for engaging the first device (100), and including a retaining member (656; 658; 662), wherein the retaining member (656; 658; 662) is operable to prevent removal of the first device (100) from the adapter (650) upon engagement of the first device (100) with the second end (654). The first end (652) and the second end (654) are open on both ends to comprise a through-bore extending through the adapter (650). In some cases, the first device (100) may be a drug pen containing insulin.

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MINIATURIZED ANALYTE SENSOR

Publication No.: US2022296131A1 22/09/2022

Applicant:

MEDTRONIC MINIMED INC [US]

US_2020155044_A1

Absstract of: US2022296131A1

The disclosed techniques include applying, using a voltage controller, multiple voltage pulses to a working electrode of a two-electrode sensor probe, and measuring, using a current sensor, the current response to the applied multiple voltage pulses. The techniques also include analyzing, using a processor, the measured current response, and calibrating, using a processor, the current sensor on the basis of the analyzed measured current response. The techniques further include determining, using a processor, a glucose concentration value on the basis of the calibrated current sensor, and transmitting, using a transmitter, the determined glucose concentration value to a receiver.

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MEASUREMENT SYSTEM, MEASUREMENT APPARATUS AND STORAGE MEDIUM STORING PROGRAM

Publication No.: US2022296135A1 22/09/2022

Applicant:

QUANTUM OPERATION INC [JP]

CN_114650769_PA

Absstract of: US2022296135A1

This measurement system comprises: an infrared emission unit that emits first infrared light; an infrared reception unit that receives second infrared light, which is light obtained as a result of the first infrared light being reflected on a portion of the body of a measurement subject or being transmitted through a portion of the body of a measurement subject; an infrared current generation unit that applies a pulse current to the infrared emission unit; a duty control part that, on the basis of the intensity of the second infrared light, changes the duty of the pulse current applied by the infrared current generation unit; and a glucose level determination device that, on the basis of the intensity of the second infrared light, determines the blood glucose level of the measurement subject.

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DIABETIC RETINOPATHY DETECTION USING MACHINE LEARNING

Publication No.: US2022301153A1 22/09/2022

Applicant:

ACER MEDICAL INC [TW]

CN_115115569_PA

Absstract of: US2022301153A1

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for computer aided diagnosis of a medical image. One of the methods includes processing the medical image through a machine learning (ML) model to provide a first feature representation of the medical image, wherein the ML model includes an input layer and a pooling layer, wherein the first feature representation is an output from the pooling layer, generating, by the ML model, a sequence of second feature representations of the medical image from the first feature representation of the medical image, wherein each second feature representation in the sequence of the second feature representations having a lower dimension than the first feature representation, and generating, by the ML model, an output as a last second feature representation in the sequence of the second feature representations.

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OPTIMIZING ANALYTE SENSOR CALIBRATION

Publication No.: US2022296132A1 22/09/2022

Applicant:

ABBOTT DIABETES CARE INC [US]

US_2022110553_A1

Absstract of: US2022296132A1

Method and apparatus for optimizing analyte sensor calibration including receiving a current blood glucose measurement, retrieving a time information for an upcoming scheduled calibration event for calibrating an analyte sensor, determining temporal proximity between the current blood glucose measurement and the retrieved time information for the upcoming calibration event, initiating a calibration routine to calibrate the analyte sensor when the determined temporal proximity is within a predetermined time period, and overriding the upcoming scheduled calibration event using the current blood glucose measurement are provided.

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Methods Circuits Devices Systems and Machine Executable Code for Glucose Event Detection

Publication No.: US2022296133A1 22/09/2022

Applicant:

CALOSENSE LTD [IL]

Absstract of: US2022296133A1

Disclosed are methods, circuits, devices, systems and functionally associated machine executable code for glucose event detection. A system for glucose event detection includes a recursive neural network (RNN) model for generating, for a monitored subject, blood glucose level (BGL) output streams for respective, system fed, heart beats per minute (BPM) input streams of a monitored subject. A supervised training mechanism, for training the artificial recurrent neural network (RNN) model, compares model generated blood glucose level (BGL) output streams to time-aligned blood glucose level (BGL) output streams from a continuous glucose monitoring (CGM) device concurrently monitoring the same subject.

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DETECTION AND/OR PREDICTION OF A MEDICAL CONDITION USING ATRIAL FIBRILLATION AND GLUCOSE MEASUREMENTS

Publication No.: US2022296174A1 22/09/2022

Applicant:

COVIDIEN LP [US]

CN_115105065_PA

Absstract of: US2022296174A1

A system comprises electrocardiogram sensing, glucose sensing circuitry, and processing circuitry. The sensing circuitry is configured to sense an electrocardiogram of a patient. The glucose sensing circuitry is configured to sense glucose levels of the patient. The processing circuitry configured to detect atrial fibrillation of the patient during a time unit based on the electrocardiogram of the patient, determine a first metric, wherein the first metric is associated with atrial fibrillation the patient experiences during the time unit, determine a second metric, wherein the second metric is associated with glucose levels of the patient during the time unit, and generate a health metric, wherein the health metric is determined based on the first and second metrics.

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Continuous glucose monitoring apparatus

Publication No.: AU2021249765A1 22/09/2022

Applicant:

I SENS INC

KR_20210121666_PA

Absstract of: AU2021249765A1

The present invention relates to a continuous glucose monitoring apparatus, and provides a continuous glucose monitoring apparatus of which a body-attachment unit starts operating, in a state in which the body-attachment unit is inside an applicator, by the supply of power to the body-attachment unit through a user operation, such as separation and removal of a protective cap, so that the operating start time point of the body-attachment unit is formed by means of the user operation immediately before the body-attachment unit is inserted into and attached to the human body, thereby enabling the body-attachment unit to start operating at an appropriate point in time, the body-attachment unit starts operating only by simply removing the protective cap even without performing separate additional work for starting operation of the body-attachment unit, thereby improving use convenience, and an operating method for a power supply switch means that supplies battery power to the body-attachment unit is formed as various methods that are linked with a separation and removal operation of the protective cap, and thus manufacturing and use convenience can be further improved.

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ASSESSING DISEASE RISKS FROM USER CAPTURED DATA

Publication No.: WO2022192948A1 22/09/2022

Applicant:

ADVANCED HUMAN IMAGING LTD [AU]

US_2022301723_PA

Absstract of: WO2022192948A1

In some examples, an apparatus (100), such as a mobile phone can include an input module (102) such as a touch screen, a camera (104), a processor, and computer readable medium. The camera (104) captures one or more images of a person. The processor can use a single machine learning model (110) to estimate the human body features of the person based on the captured images, and use the human body features to generate a disease risk assessment value associated with diabetes and cardiovascular disease risks. The human body features can include at least one or more of: 3D body shape, or body shape indicators; and one or more of: blood flow, blood pressure, heart rate, respiratory rate, heart rate variability, cardiac workload, irregular heartbeats, or stress index. The machine learning model (110) can be trained over a set of training images.

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ANALYTE SENSOR

Publication No.: US2022296134A1 22/09/2022

Applicant:

DEXCOM INC [US]

US_2022054056_A1

Absstract of: US2022296134A1

The present invention relates generally to systems and methods for measuring an analyte in a host. More particularly, the present invention relates to systems and methods for transeutaneous measurement of glucose in a host.

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Glucose measurement predictions using stacked machine learning models

Publication No.: AU2021284267A1 22/09/2022

Applicant:

DEXCOM INC

WO_2021247561_A1

Absstract of: AU2021284267A1

Glucose measurement and glucose-impacting event prediction using a stack of machine learning models is described. A CGM platform includes stacked machine learning models, such that an output generated by one of the machine learning models can be provided as input to another one of the machine learning models. The multiple machine learning models include at least one model trained to generate a glucose measurement prediction and another model trained to generate an event prediction, for an upcoming time interval. Each of the stacked machine learning models is configured to generate its respective output when provided as input at least one of glucose measurements provided by a CGM system worn by the user or additional data describing user behavior or other aspects that impact a person's glucose in the future. Predictions may then be output, such as via communication and/or display of a notification about the corresponding prediction.

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DETECTION AND/OR PREDICTION OF A MEDICAL CONDITION USING ATRIAL FIBRILLATION AND GLUCOSE MEASUREMENTS

Publication No.: EP4059425A1 21/09/2022

Applicant:

COVIDIEN LP [US]

CN_115105065_PA

Absstract of: EP4059425A1

A system comprises electrocardiogram sensing, glucose sensing circuitry, and processing circuitry. The sensing circuitry is configured to sense an electrocardiogram of a patient. The glucose sensing circuitry is configured to sense glucose levels of the patient. The processing circuitry configured to detect atrial fibrillation of the patient during a time unit based on the electrocardiogram of the patient, determine a first metric, wherein the first metric is associated with atrial fibrillation the patient experiences during the time unit, determine a second metric, wherein the second metric is associated with glucose levels of the patient during the time unit, and generate a health metric, wherein the health metric is determined based on the first and second metrics.

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METHOD AND SYSTEM FOR MODEL-BASED TRACKING OF HEMOGLOBIN A1C FROM DAILY CONTINUOUS GLUCOSE MONITORING PROFILES

Publication No.: EP4057898A1 21/09/2022

Applicant:

UNIV VIRGINIA PATENT FOUNDATION [US]

WO_2021097396_A1

Absstract of: WO2021097396A1

A method, system, and computer-readable medium for providing a real-time estimation of laboratory glycosylated hemoglobin (HbAlc) at one or more intervals. The real-time estimation is conferred as a value of estimated, time variable Ale (eAlc) based on daily continuous glucose monitoring (CGM) - derived time in target range (TIR) (CGM-TIR). The eAlc value is adjusted based on a sole laboratory HbAlc value for an interval preceding an interval corresponding to the eAlc value so as to provide an expected value for a laboratory HbAlc value at the same corresponding interval.

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OPPORTUNISTIC RETRIEVAL OF ANALYTE VALUE TO IMPROVE AUTOMATIC DRUG CONTROL ACCURACY

Publication No.: WO2022192069A1 15/09/2022

Applicant:

INSULET CORP [US]

US_2022287633_PA

Absstract of: WO2022192069A1

Disclosed are processes and techniques implementable by devices and a drug delivery system to maintain optimal drug delivery for a user according to a user's diabetes treatment plan. The disclosed techniques enable a drug delivery device that received an analyte measurement value from an analyte sensor during a prior cycle time to determine a present analyte measurement value has not been received during a present cycle time. A processor of the drug delivery device may, in response to the determination, initiate an action to obtain the present analyte measure value from another device or an estimate of the present analyte measurement value. Based on an outcome of the initiated action, the processor may calculate a dosage of the drug using the present analyte measurement value or information related to the present analyte measurement value. The drug delivery device may also be operable to output the calculated dosage of the drug.

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ADAPTABLE ASYMMETRIC MEDICAMENT COST COMPONENT IN A CONTROL SYSTEM FOR MEDICAMENT DELIVERY

Publication No.: WO2022192106A1 15/09/2022

Applicant:

INSULET CORP [US]

US_2022288300_PA

Absstract of: WO2022192106A1

The exemplary embodiments provide medicament delivery devices that use cost functions in their control systems to determine medicament dosages. The cost function may have a medicament cost component and a performance cost component. The exemplary embodiments may use cost functions having medicament cost components that scale asymmetrically for different ranges of inputs (i.e., different candidate medicament dosages). The variance in scaling for different input ranges provides added flexibility to tailor the medicament cost component to the user and thus provide better management of medicament delivery to the user and better conformance to a performance target. The exemplary embodiments may use a cost function that has a medicament cost component (such as an insulin cost component) of zero for candidate dosages for a range of candidate dosages (e.g., below a reference dosage).

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ADAPTIVE UPDATE OF AUTOMATIC INSULIN DELIVERY (AID) CONTROL PARAMETERS

Publication No.: WO2022192105A1 15/09/2022

Applicant:

INSULET CORP [US]

US_2022288300_PA

Absstract of: WO2022192105A1

Exemplary embodiments may modify the cost function parameters based on current and projected mean outcomes in blood glucose level control performance. The exemplary embodiments may modify the weight coefficient R for the insulin cost so that the value of R is not fixed and is not based solely on clinical determined values. Exemplary embodiments may also adjust the cost function to address persistent low-level blood glucose level excursions for users. The exemplary embodiments may reduce the penalty of the insulin cost by the sum of the converted insulin cost of the glucose excursions above target for a period divided by a number of cycles of average insulin action time. The AID system reduces the insulin cost by the lack of insulin in previous cycles.

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MEDICAMENT DELIVERY DEVICE WITH AN ADJUSTABLE AND PIECEWISE ANALYTE LEVEL COST COMPONENT TO ADDRESS PERSISTENT POSITIVE ANALYTE LEVEL EXCURSIONS

Publication No.: US2022293234A1 15/09/2022

Applicant:

INSULET CORP [US]

WO_2022192482_PA

Absstract of: US2022293234A1

The exemplary embodiments may modify a glucose cost component of the cost function of the control loop of an insulin delivery device to compensate for persistent positive low level glucose excursions relative to a target glucose level. The exemplary embodiments may enable use of different glucose cost component functions for different glucose levels of the user. These glucose cost component functions may be employed in piecewise fashion with a different piece being applied for each respective range of glucose level values for the user. The final glucose cost function for calculating the glucose cost component may be a weighted combination of a piecewise glucose cost function and a weighted standard cost function (such as a quadratic function). The weights may reflect the magnitude and/or persistence of glucose excursions relative to a target glucose level.

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INTEGRATED MEDICAMENT DELIVERY DEVICE FOR USE WITH CONTINUOUS ANALYTE SENSOR

Publication No.: US2022292746A1 15/09/2022

Applicant:

DEXCOM INC [US]

US_2022245873_A1

Absstract of: US2022292746A1

An integrated system for the monitoring and treating diabetes is provided, including an integrated receiver/hand-held medicament injection pen, including electronics, for use with a continuous glucose sensor. In some embodiments, the receiver is configured to receive continuous glucose sensor data, to calculate a medicament therapy (e.g., via the integrated system electronics) and to automatically set a bolus dose of the integrated hand-held medicament injection pen, whereby the user can manually inject the bolus dose of medicament into the host. In some embodiments, the integrated receiver and hand-held medicament injection pen are integrally formed, while in other embodiments they are detachably connected and communicated via mutually engaging electrical contacts and/or via wireless communication.

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OPPORTUNISTIC RETRIEVAL OF ANALYTE VALUE TO IMPROVE AUTOMATIC DRUG CONTROL ACCURACY

Publication No.: US2022287633A1 15/09/2022

Applicant:

INSULET CORP [US]

WO_2022192069_PA

Absstract of: US2022287633A1

Disclosed are processes and techniques implementable by devices and a drug delivery system to maintain optimal drug delivery for a user according to a user's diabetes treatment plan. The disclosed techniques enable a drug delivery device that received an analyte measurement value from an analyte sensor during a prior cycle time to determine a present analyte measurement value has not been received during a present cycle time. A processor of the drug delivery device may, in response to the determination, initiate an action to obtain the present analyte measure value from another device or an estimate of the present analyte measurement value. Based on an outcome of the initiated action, the processor may calculate a dosage of the drug using the present analyte measurement value or information related to the present analyte measurement value. The drug delivery device may also be operable to output the calculated dosage of the drug.

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METHOD AND SYSTEM FOR ANALYZING GLUCOSE MONITORING DATA INDICATIVE OF A GLUCOSE LEVEL

Nº publicación: US2022287654A1 15/09/2022

Applicant:

ROCHE DIABETES CARE INC [US]

US_2017251982_A1

Absstract of: US2022287654A1

A computer-implemented method and a system for analyzing glucose monitoring data indicative of a glucose level, comprising: presenting by a data processing device provided a graphical window on a display device wherein the graphical window comprises a time abscissa axis that defines time units, and a glucose ordinate axis that defines glucose units; receiving a plurality of glucose monitoring values associated with a monitoring time period by the data processing device; segmenting the plurality of glucose monitoring values into a plurality of glucose monitoring traces indicative of the glucose level; defining a reference trace segment; determining the reference trace segment for each of the plurality of glucose monitoring traces; and plotting, for a time window comprising the reference trace segment, the plurality of glucose monitoring traces within the graphical window. Furthermore, a non-transitory computer readable medium is disclosed.

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