DIABETES MONITORING AND CONTROL TECHNOLOGY

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Resultados 125 results. LastUpdate Updated on 29/11/2022 [12:41:00] pdf PDF xls XLS

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



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WEARABLE BLOOD PRESSURE BIOSENSORS, SYSTEMS AND METHODS FOR SHORT-TERM BLOOD PRESSURE PREDICTION

Publication No.: US2022361823A1 17/11/2022

Applicant:

INFORMED DATA SYSTEMS INC D/B/A ONE DROP [US]

Absstract of: US2022361823A1

Wearable blood pressure biosensors, systems, and methods for short-term blood pressure predictions are disclosed herein. In some embodiments, a blood pressure prediction system is configured to provide short-term predictions of average blood pressures for future time period(s) or horizon(s) (e.g., for a coming week). The system can include models trained to predict future systolic values, diastolic blood pressure values, and/or trends. The models can be trained on data related to personalized body, health, and/or physical characteristics of the user, e.g., the current or previous blood pressure, amount of sleep, heart rate, blood glucose (BG), activity, weight, etc. In some embodiments, the models can also determine whether the blood pressure of the user will change or remain relatively constant over a period/range of time.

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Diabetes prediction using glucose measurements and machine learning

Publication No.: AU2021300937A1 17/11/2022

Applicant:

DEXCOM INC

US_2022354395_PA

Absstract of: AU2021300937A1

Diabetes prediction using glucose measurements and machine learning is described. In one or more implementations, the observation analysis platform includes a machine learning model trained using historical glucose measurements and historical outcome data of a user population to predict a diabetes classification for an individual user. The historical glucose measurements of the user population may be provided by glucose monitoring devices worn by users of the user population, while the historical outcome data includes one or more diagnostic measurements obtained from sources independent of the glucose monitoring devices. Once trained, the machine learning model predicts a diabetes classification for a user based on glucose measurements collected by a wearable glucose monitoring device during an observation period spanning multiple days. The predicted diabetes classification may then be output, such as by generating one or more notifications or user interfaces based on the classification.

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BLOOD GLUCOSE PREDICTION METHOD AND APPLICATION THEREOF, AND BLOOD GLUCOSE PREDICTION SYSTEM

Publication No.: WO2022237162A1 17/11/2022

Applicant:

SHENZHEN INST OF ADV TECH CAS [CN]

CN_113205884_A

Absstract of: WO2022237162A1

A blood glucose prediction method and the application thereof, and a blood glucose prediction system, which belong to the technical field of medical health. The current blood glucose prediction algorithms have a relatively high accuracy at the stage where blood glucose changes are relatively steady, but have an obviously reduced blood glucose prediction accuracy at the stage (for example, after a meal) where blood glucose fluctuations are relatively large. The blood glucose prediction method comprises: acquiring blood glucose data; performing preliminary prediction on a blood glucose value; and fusing a preliminary prediction result, and then displaying a prediction result. The present application can better adapt to blood glucose prediction of different groups of people, the method has a higher accuracy.

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PORTABLE BREATH ANALYSIS DEVICE SYSTEM AND A METHOD THEREOF

Publication No.: WO2022240376A2 17/11/2022

Applicant:

BAHCESEHIR UNIV [TR]

Absstract of: WO2022240376A2

The present invention relates to a portable breath analysis device system and a method thereof that helps healthy nutrition and weight loss by allowing for detecting the intolerant foods by means of analyzing the respiratory gases received from the person's breath. The present invention particularly relates to a portable breath analysis device system and a method thereof that simultaneously and instantaneously measures acetone, ammonia, nitric oxide, ethanol, carbon monoxide, and hydrogen gases in the breath of a person, that allows for monitoring and regulating a person's carbohydrate (sugar), fat, and protein consumption with a computer-based method by transferring the data obtained from these measured gases to a mobile device.

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Apparatus and Method for Monitoring Peripheral Diabetic Neuropathy and/or Peripheral Arterial Disease

Publication No.: EP4087471A1 16/11/2022

Applicant:

PODIMETRICS INC [US]

CN_115243606_PA

Absstract of: US2021212628A1

The bottom surface of a patient's foot makes contact with the receiving region of a device body to cause a set of temperature sensors to produce a current set of temperature values. Four or more earlier sets of temperature values produced at earlier times for the bottom surface of the patient's foot are accessed. Next, after setting a normalization reference for the earlier sets of temperature values and the current set of temperature values to produce normalized data, the normalized data is transformed into model information representing the progression of PDN or PAD. That model information is used to ascertain the trajectory of the patient's PDN or PAD.

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INFUSION PUMP WITH PROGRAM KEY

Publication No.: EP4088760A1 16/11/2022

Applicant:

BECTON DICKINSON CO [US]

ES_2924813_T3

Absstract of: EP4088760A1

A wearable infusion pump allows a user to insert a program key into the device housing to select a continuous dosage rate. The program keys are shaped to close contacts on a printed circuit board within the housing to communicate the selected dosage to a microprocessor. In this way, a single disposable pump, sold with one SKU, can be used to deliver a plurality of dosage rates. The disposable pump is provided with on-board display and one-button on-board user operable control. In preferred embodiments, the infusion pump according to the invention may be used for the continuous delivery of insulin in the management of Type II diabetes.

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METHODS AND SYSTEMS FOR ESTIMATING FASTING GLUCOSE VALUES

Publication No.: WO2022234032A2 10/11/2022

Applicant:

NOVO NORDISK AS [DK]

Absstract of: WO2022234032A2

A method for estimating a fasting blood glucose (FBG) value for a subject, comprising the steps of obtaining a first data set representing a blood glucose history (BGH), obtaining a second data set representing a basal insulin injection history (IH) of the subject, and based on BGH and IH and using a mathematical model: calculating a predicted FBG for the time t+1, where t+1 is the current time. The method comprises the further steps of obtaining at time t+1 a current measured FBG from the subject, and based on the predicted FBG and the current measured FBG: calculating an updated estimated FBG.

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A HANDHELD CLOSED-LOOP AUTOMATIC INSULIN DELIVERY SYSTEM

Publication No.: WO2022235653A2 10/11/2022

Applicant:

MASSACHUSETTS INST TECHNOLOGY [US]
TRAVERSO CARLO GIOVANNI [US]
HUANG HEN WEI [US]
YOU SIHENG [US]
RAFTERY ERIN [US]

US_2022346707_PA

Absstract of: WO2022235653A2

An all-in-one insulin pen includes a handheld housing that houses a glucose testing module, an insulin delivery module, a wireless communication module, and a microcontroller. The glucose testing module tests a one-time glucose concentration of a patient. The insulin delivery module automatically administers an insulin bolus to the patient based at least in part on the one-time glucose concentration.

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NON-INVASIVE DETERMINATION OF BLOOD GLUCOSE LEVELS

Publication No.: WO2022233771A1 10/11/2022

Applicant:

HOFFMANN LA ROCHE [CH]
ROCHE DIABETES CARE GMBH [DE]
ROCHE DIABETES CARE INC [US]

Absstract of: WO2022233771A1

A method to determine a subject's blood glucose level non-invasively by analyzing an exhaled breath or another gaseous emanation from the subject, comprising non-invasively detecting an amount of at least one volatile organic marker in the subject's exhaled breath or the subject's other gaseous emanation as marker data and determining the subject's blood glucose level based on the marker data, wherein the volatile organic marker is selected from a group of markers for which the amount of the volatile organic marker is negatively correlated to the blood glucose level. The volatile organic marker is one of indole (C8H7N), a partly saturated derivative of indole, a fully saturated derivative of indole and a true fraction of indole.

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MEDICAL AND THERAPEUTIC CARE FACILITATING APPARATUS, SYSTEMS AND DEVICES THEREOF

Publication No.: WO2022234330A1 10/11/2022

Applicant:

BONAM RAJESH [IN]

AU_2021104799_A4

Absstract of: WO2022234330A1

The present disclosure relates generally to an apparatus that facilitates one stop solution for a plurality of requirements in medical care and oxygen therapeutic applications. The proposed system may be integrated with various portable equipment such as Blood Pressure Monitor, EKG/ECG Monitors, Continuous positive airway pressure, Glucose Monitors, Neuromonitoring Devices, Hemodynamic Monitoring Devices, mixed reality devices, Air Quality Monitors, Electroencephalograph (EEG) Devices, Oximeters, Cardiac Monitoring Devices, Respiratory Monitoring Devices, Spirometers, portable ventilators, Temperature Monitoring Devices but not limited to the like. The system may be configured to monitor, record and save data corresponding to Electronic Health Record (HER) and Electronic Medical Record (EMR). The data saved may be configured as inputs to a Machine Learning (ML) engine coupled to the system to facilitate prediction of the health of a user or a patient and recommend treatments, thereby improving the quality of healthcare services.

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METHODS, SYSTEMS, AND APPARATUSES FOR PREVENTING DIABETIC EVENTS

Publication No.: WO2022235618A1 10/11/2022

Applicant:

THE US GOV AS REPRESENTED BY THE DEPARTMENT OF VETERANS AFFAIRS [US]
UNIV BROWN [US]
DENG YIXIANG [US]
KARNIADAKIS GEORGE [US]
LU LU [US]

Absstract of: WO2022235618A1

Described herein are methods and systems for preventing a glycemic event. One or more improved deep-leaming models for predicting glycemic events may receive current blood glucose data and other physiological data from associated with a patient. The one or more models may determine one or more future blood glucose values and whether or not the one or more future blood glucose values satisfy one ore more thresholds associated with one or more glycemic events (e.g., hypoglycemia and/or hyperglycemia). If the one or more future blood glucose values satisfy the one or more thresholds, one or more actions may be taken (e.g., administration of insulin).

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INTEGRATED MEDICAMENT DELIVERY DEVICE FOR USE WITH CONTINUOUS ANALYTE SENSOR

Publication No.: US2022358699A1 10/11/2022

Applicant:

DEXCOM INC [US]

US_2022292746_PA

Absstract of: US2022358699A1

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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PERSONALIZED CONTEXT SENSITIVE MEAL TRACKING FOR AUTOMATIC INSULIN DELIVERY SYSTEMS

Publication No.: US2022355030A1 10/11/2022

Applicant:

INSULET CORP [US]

EP_4086913_PA

Absstract of: US2022355030A1

The disclosed embodiments are directed to an automatic drug delivery (ADD) system device configured to provide bolus dosing of insulin. The embodiments include a system and method for providing an improved meal input interface for the user as well as methods for the use of the information provided by the user to both improve the post-prandial bolus dosing of insulin and to advise the user on meals that will lead to improved blood glucose control for the user.

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APPARATUS FOR BLOOD SUGAR LEVEL DETECTION

Publication No.: US2022354448A1 10/11/2022

Applicant:

SHENZHEN XPECTVISION TECH CO LTD [CN]

CN_114945844_PA

Absstract of: US2022354448A1

Disclosed herein is an apparatus comprising: an X-ray source configured to direct X-rays through a human tissue; an X-ray detector configured to capture an image of the human tissue with the X-rays; wherein the apparatus is configured to identify an image of a blood vessel from the image of the human tissue and configured to determine a blood sugar level based on the image of the blood vessel.

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PERSONALIZED GLUCOSE RANGES FOR MAKING HEALTHY CHOICES

Publication No.: US2022354392A1 10/11/2022

Applicant:

ZOE LTD [GB]

EP_4086915_PA

Absstract of: US2022354392A1

Techniques are disclosed herein for generating personalized glucose ranges. In some examples, during a calibration period, a user may consume foods that they normally consume, as well as some standardized meals. Personalized upper limits and lower limits to the glucose range can be determined (e.g., using machine learning techniques) that account for the shape of glucose trace for the particular user, the food consumed during the calibration period, as well as other non-glucose factors such as questionnaires, the user's lipid profile, obesity or other health risks, and the like. In some cases, food recommendations may also be provided to the user (e.g., using machine learning techniques). The personalized glucose range and other information may be presented to the user on a display.

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DEVICE FOR COLLECTION OF VOLATILE COMPOUNDS FROM SKIN FOR NON-INVASIVE MEASUREMENT OF BLOOD-GLUCOSE VALUES

Publication No.: US2022354396A1 10/11/2022

Applicant:

ROCHE DIABETES CARE INC [US]

KR_20220143663_PA

Absstract of: US2022354396A1

A volumetric sampling apparatus for volatile compounds comprises a structure, such as a channel structure that forms a continuous curve between the inlet port and the outlet port. A gas flow induced in the structure urges volatile compounds collected via transdermal diffusion toward the outlet port, where the volatile compounds may be collected and analyzed by a gas composition analyzer coupled to the outlet port.

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CALIBRATION OF OPTICAL GLUCOSE SENSORS BASED ON ELECTROCHEMICAL GLUCOSE SENSORS

Publication No.: US2022354394A1 10/11/2022

Applicant:

MEDTRONIC MINIMED INC [US]

US_2021386335_A1

Absstract of: US2022354394A1

The disclosed techniques include obtaining a first signal generated by an electrochemical glucose sensor and a second signal generated by an optical glucose sensor, and obtaining a glucose value indicative of a user's blood glucose level, where the glucose value and the second signal are obtained at different times. The disclosed techniques further cause calculating a mapped value for the second signal based on the first signal, and calibrating the mapped value of the second signal based on the glucose value.

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DIABETES PREDICTION USING GLUCOSE MEASUREMENTS AND MACHINE LEARNING

Publication No.: US2022354395A1 10/11/2022

Applicant:

DEXCOM INC [US]

AU_2021300937_PA

Absstract of: US2022354395A1

Diabetes prediction using glucose measurements and machine learning is described. In one or more implementations, the observation analysis platform includes a machine learning model trained using historical glucose measurements and historical outcome data of a user population to predict a diabetes classification for an individual user. The historical glucose measurements of the user population may be provided by glucose monitoring devices worn by users of the user population, while the historical outcome data includes one or more diagnostic measurements obtained from sources independent of the glucose monitoring devices. Once trained, the machine learning model predicts a diabetes classification for a user based on glucose measurements collected by a wearable glucose monitoring device during an observation period spanning multiple days. The predicted diabetes classification may then be output, such as by generating one or more notifications or user interfaces based on the classification.

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MEDICAL DEVICES AND METHODS

Publication No.: US2022359074A1 10/11/2022

Applicant:

ABBOTT DIABETES CARE INC [US]

EP_3923295_A1

Absstract of: US2022359074A1

Methods and devices to monitor an analyte in body fluid are provided. Embodiments include continuous or discrete acquisition of analyte related data from a transcutaneously positioned in vivo analyte sensor automatically or upon request from a user. The in vivo analyte sensor is coupled to an electronics unit holding a memory with instruction to cause processing circuitry to initiate a predetermined time period that is longer than a predetermined life of the sensor, during the predetermined time period, convert signals from the sensor related to glucose to respective corresponding glucose levels, without relying on any post-manufacture independent analyte measurements from a reference device, and at the expiration of the predetermined time period, disable, deactivate, or cease use of one or more feature.

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Calculation of Insulin Sensitivity Factors used to determine correction doses of insulin at varying levels of glycemia in human patients.

Publication No.: US2022359054A1 10/11/2022

Applicant:

WILSON CHRISTOPHER RICHARD [US]

Absstract of: US2022359054A1

This invention discloses a method of calculating insulin sensitivity factors for use in calculating insulin doses dynamically as a function of current blood glucose level based on a temporally-weighted average of the patient's total daily insulin dose, the pharmacodynamic and/or pharmacokinetic profile of the insulin used, and the patient's typical ratio of basal insulin to bolus insulin. When average total daily insulin and the other relevant variables are inserted into the equation, the result is a mathematical function that can be used to estimate the effects of each unit of insulin delivered on a patient's blood glucose level. This mathematical equation is valid over a wide range of diabetic conditions and could be widely used throughout the world at very little cost (and at considerable improvement) to the current technology in use for these purposes.

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INSULIN MANAGEMENT

Publication No.: US2022359072A1 10/11/2022

Applicant:

ASEKO INC [US]

US_2022037016_A1

Absstract of: US2022359072A1

A method of administering insulin includes receiving blood glucose measurements of a patient at a data processing device from a glucometer. Each blood glucose measurement is separated by a time interval and includes a blood glucose time associated with a time of measuring the blood glucose measurement. The method also includes receiving patient information at the data processing device and selecting a subcutaneous insulin treatment for tube-fed patients from a collection of subcutaneous insulin treatments. The selection is based on the blood glucose measurements and the patient information. The subcutaneous insulin treatment program for tube-fed patients determines recommended insulin doses based on the blood glucose times. The method also includes executing, using the data processing device, the selected subcutaneous insulin treatment.

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CONTINUOUS GLUCOSE MONITOR COMMUNICATION WITH MULTIPLE DISPLAY DEVICES

Publication No.: US2022357909A1 10/11/2022

Applicant:

DEXCOM INC [US]

JP_2022000156_A

Absstract of: US2022357909A1

A continuous glucose monitor for wirelessly transmitting data relating to glucose value to a plurality of displays is disclosed, as well as systems and methods for limiting the number of display devices that can connect to a continuous glucose transmitter. In addition, security, including hashing techniques and a changing application key, can be used to provide secure communications between the continuous glucose transmitter and the displays. Also provided is a continuous glucose monitor and techniques for authenticating multiple displays, providing secure data transmissions to multiple displays, and coordinating the interaction of commands and data updates between multiple displays.

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PORTABLE ADJUSTABLE SYRINGE GUIDE AND VIAL HOLDER

Publication No.: US2022355042A1 10/11/2022

Applicant:

NICHOLS GAIL WINIFRED [US]
CHERRY RICHARD SUTTON [US]

US_2022354249_PA

Absstract of: US2022355042A1

A portable modular assistive device for storing, measuring, drawing and administering liquid injectable medication or other fluids from a vial and syringe, specifically to insulin for consumers and medical professionals in homes, while traveling and in medical facilities, having means to allow users to quickly, securely, easily and accurately measure and draw the desired amount of insulin and then administer the medication. The device is a portable syringe guide and vial holder comprising a horizontal elongated stabilizer made of rigid light-weight material with high tolerance and low friction, a rigid liquid medication vial protector at one end; a rigid movable syringe carriage with an opening on the top side to firmly hold the assembled syringe and needle to perfectly align the needle to the center section of the rubber top of the vial; a flexible expandable color-coded security strap; a flexible expandable color-coded resistance spacer ring, a removeable adjustable magnifier and calibrator bar, a rigid end cap at the other end of the horizontal stabilizer, with said holder having means to allow users to transport said holder in a pocket or pouch without risk of spillage from the vial, dislodging the components or damage to the vial, needle or syringe. Thus, a considerably more versatile, cost-effective, durable and efficient syringe guide and vial holder is provided that can accommodate a plurality of syringe and needle sizes as well as various liquid medications and other

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Glucose prediction using machine learning and time series glucose measurements

Publication No.: AU2020450952A1 10/11/2022

Applicant:

DEXCOM INC

WO_2021242304_A1

Absstract of: AU2020450952A1

Glucose prediction using machine learning (ML) and time series glucose measurements is described. Given the number of people that wear glucose monitoring devices and because some wearable glucose monitoring devices can produce measurements continuously, a platform providing such devices may have an enormous amount of data. This amount of data is practically, if not actually, impossible for humans to process and covers a robust number of state spaces unlikely to be covered without the enormous amount of data. In implementations, a glucose monitoring platform includes an ML model trained using historical time series glucose measurements of a user population. The ML model predicts upcoming glucose measurements for a particular user by receiving a time series of glucose measurements up to a time and determining the upcoming glucose measurements of the particular user for an interval subsequent to the time based on patterns learned from the historical time series glucose measurements.

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NON-INVASIVE DETERMINATION OF BLOOD GLUCOSE LEVELS

Nº publicación: EP4085832A1 09/11/2022

Applicant:

ROCHE DIABETES CARE GMBH [DE]
HOFFMANN LA ROCHE [CH]

Absstract of: EP4085832A1

A method to determine a subject's blood glucose level non-invasively by analyzing an exhaled breath or another gaseous emanation from the subject, comprising non-invasively detecting an amount of at least one volatile organic marker in the subject's exhaled breath or the subject's other gaseous emanation as marker data and determining the subject's blood glucose level based on the marker data, wherein the volatile organic marker is selected from a group of markers, such as indole, for which the amount of the volatile organic marker is negatively correlated to the blood glucose level.

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