Medtronic, Inc.

Medtronic Minimed, Inc.

Nicholas S Mairs

Mukul Jain

Kathryn Pederson

John Shishilla

Santhisagar Vaddiraju

Brian Ross

Bejan M Darbandi

Dennis M Skelton

Brian Sorenson

Robert A Vigersky

Emmanuel R Darne

Justin Kemp

Maxwell P Lundeen

Kathryn A Pederson

A physiological characteristic monitoring system includes a wearable attachment device, an electronic device, and a physiological characteristic sensor (e.g., a glucose sensor) including a portion that is insertable into subcutaneous tissue of a user to generate sensor signals indicating a physiological characteristic of the user. The electronic device includes a first connector configured to detachably couple to the physiological characteristic sensor to receive the sensor signals in a first configuration of the electronic device, a second connector configured to detachably couple to the wearable attachment device in a second configuration of the electronic device, a controller configured to determine the physiological characteristic of the user based on the sensor signals, and a display configured to display the physiological characteristic of the user.

Systems for physiological characteristic monitoring

A trial stimulation system includes a trial electrical stimulator. Additionally, systems for securing a disposable trial stimulator to the body of a patient are described, which may function to improve the durability of the system during the trial period and reduce the risk of damage or malfunction to the system due to lead/electrode dislocation and/or off-label uses like showering or bathing with the trial stimulator still secured to the body.

Trial stimulation systems

Medical devices and related systems and methods are provided. A method of providing a notification pertaining to a physiological condition using a translation model involves identifying an error metric associated with an input variable associated with the translation model, determining a reference output of the translation model by providing reference values for the input variable to the translation model, generating modulated values for the input variable based on the reference values using the error metric, determining a simulated output of the translation model by providing the modulated values for the input variable to the translation model, and updating the translation model to reduce a weighting associated with the input variable when a difference between the simulated output and the reference output is greater than a threshold.

Methods and systems for mitigating sensor error propagation

A physiological characteristic monitoring system includes a physiological characteristic sensor that observes a physiological characteristic and generates sensor signals based on the observation. The physiological characteristic sensor includes a sensor connector. The physiological characteristic monitoring system includes a wearable device to be worn by a user in a first configuration and having a connector to couple to the sensor connector in a second configuration. The wearable device includes a controller that receives the sensor signals from the physiological characteristic sensor in the second configuration and determines a current value of the physiological characteristic based on the sensor signals.

Systems and methods for physiological characteristic monitoring

Medical devices and related patient management systems and methods are provided. A method of presenting information pertaining to operation of a medical device involves obtaining historical glucose measurement data for a patient from a database, identifying, based on the historical glucose measurement data, a first set of event patterns within respective ones of a plurality of monitoring periods, obtaining an adjusted set of glucose measurement data determined based on the historical glucose measurement data and an uncertainty metric associated with the historical glucose measurement data, identifying, based on the adjusted set of glucose measurement data, one or more event patterns within respective ones of the plurality of monitoring periods, and generating a graphical user interface display comprising an event detection region based at least in part on the first plurality and the one or more sets of event patterns.

Medical devices and related event pattern presentation methods

A trial stimulation system includes a disposable trial electrical stimulator that, in some examples, is sterilized for a single use in a stimulation trial of one patient. Additionally, systems for securing a disposable trial stimulator to the body of a patient are described, which may function to improve the durability of the system during the trial period and reduce the risk of damage or malfunction to the system due to lead/electrode dislocation and/or off-label uses like showering or bathing with the trial stimulator still secured to the body.

Techniques for validating operation of a medical device are disclosed. A data collection phase utilizes a first sensor carried by a patient to record patient parameter values indicative of conditions experienced by the patient (e.g, posture states.) Therapy parameter values describing therapy adjustments requested by the patient in response to the conditions are also recorded. Associations formed between the therapy parameter values and the patient parameter values are used to develop a closed-loop algorithm for control of an IMD having a sensor similar to the first sensor. An automated device such as a robotic arm uses the recorded patient parameter values to automatically reproduce, and to subject the IMD to, conditions present during the data collection phase. Therapy delivered by the IMD while under control of the closed-loop algorithm and while being subjected to the conditions is compared to the recorded therapy parameter values e to validate IMD operation.

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Minneapolis, MN, United States of America

Nicholas S Mairs