Reciprocal Labs Corporation

Resmed Limited

Resmed Pty Ltd

Resmed Halifax Ulc

Leah J Morrell

John David Van Sickle

Gregory F Tracy

David Hubanks

Samuel A Koblenski

Justin Conrad Krosschell

Amber Michelle Markey

Benjamin J Kopp

Mike Lohmeier

Christopher Hogg

Dmitry Stupakov

John Kalmi

Ki Hong Han

Charles Clayton Donaldson

Eric Hoffman

Sam Koblenski

Ben Kopp

Greg Tracy

Michael Christopher Hogg

Paul Andrew Dickens

Harsh C Parikh

Mark W Potter

Matthieu Cormier

Dyllon T Moseychuck

A medicament device sensor (Sensor) comprises a body, a front wall, a back wall, an audio sensor, and a plurality of pressure sensors. The body includes a bottom surface on which the various sensors are coupled. The front wall and the back wall provide mirror symmetry in at most one plane, thereby defining a single orientation in which the Sensor attaches to the medicament device. The front wall includes a securement clip that attaches to a ledge on the medicament device. To detect secure attachment of the Sensor to the medicament device, one pressure sensor detects pressure when the Sensor is secured to the medicament device. Another one or more pressure sensors detect depression of one or more dosing buttons confirming priming of the medicament device. The audio sensor detects an inhalation confirming dispensing of medicament. In effect, the Sensor determines a dispensing event has occurred.

Single dose inhaler monitoring attachment

Techniques for automated facial measurement are provided. A set of coordinates for a set of landmarks on a face of a user are extracted by processing an image using a machine learning model. An orientation of the face of the user is determined. It is determined that impedance conditions are not present in the images, and a reference distance on the face of the user is estimated based on the image, where the image depicts the user facing towards the imaging sensor. A nose depth of the user is estimated based on a second image based at least in part on the reference distance, where the second image depicts the user facing at an angle relative to the imaging sensor. A facial mask is selected for the user based on the nose depth.

Machine learning to determine facial measurements via captured images

Systems and methods for monitoring accurate, real-time medicament device events, performing analytics on that data, and providing notifications are described. In various embodiments, an application server receives controller medication events, analyzes the events, associated event times, and controller medication dosage plans to characterize event times and send notifications for future doses. The controller medication dosage plan may specify a dose time for a planned dose, a narrow time window comprising the dose time, and an expanded time window comprising the narrow time window and longer in duration than the narrow time window, and the events may be characterized based on their time relative to the dose time, the time windows, and other events.

Real time adaptive controller medication dosing

Usage monitoring attachment for an inhaler

Usage monitoring attachment for a dry powder inhaler

Usage monitoring attachment for a soft mist inhaler

Growing community of inventors

Madison, WI, United States of America

Leah J Morrell