Search Results - joseph+leitschuh

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Adaptive exercise-enabled proportional-derivative artificial pancreas control algorithm

Summary The current technology is an adaptive proportional-derivative (APD) control algorithm that provides automated delivery amounts of insulin and optionally glucagon to a person with type 1 diabetes using continuous glucose measurements (CGM) sensed from the person’s subcutaneous tissue. The APD algorithm includes a safety layer decision...

Published: 9/30/2022 | Inventor(s): Peter Jacobs, Joseph Leitschuh, Jessica Castle, Joseph El Youssef, Seyed (Navid) Resalat, Ravi Reddy

Keywords(s): Software, Therapeutics

Category(s): Software, Therapeutics

Adaptive exercise-enabled model-predictive-control artificial pancreas control algorithm

Summary Artificial pancreas devices help maintain healthy glucose levels in patients with type 1 diabetes (T1D), but incidences of hypoglycemia are still common after episodes of eating, sleeping and exercise. Oregon Health & Science University researchers have developed an algorithm that features adaptive responses to these factors as well as...

Published: 12/5/2023 | Inventor(s): Peter Jacobs, Joseph Leitschuh, Jessica Castle, Joseph El Youssef, Seyed (Navid) Resalat, Ravi Reddy

Keywords(s): Software, Therapeutics

Category(s): Software, Therapeutics

iPancreas: Internet based on-demand artificial pancreas app-generator to accelerate clinical trials research

Technology Overview The iPancreas software will enable researchers to rapidly develop a custom artificial pancreas (i.e. automated delivery of insulin and glucagon in response to sensed glucose) smart phone app utilizing their own artificial pancreas control algorithms and user interfaces. The OHSU software is capable of generating an app that can...

Published: 10/3/2022 | Inventor(s): Peter Jacobs, Joseph Leitschuh, Sos Oganessian, Jessica Castle, Joseph El Youssef

Keywords(s): Education & Training, Software

Category(s): Education & Training, Software

System to measure sleep apnea using portable non-contact sensors and a machine learning algorithm

Summary Method and system for automatic diagnosis of sleep apnea in the home environment. The system uses pressure sensitive sensors placed underneath a mattress and an algorithm to classify the severity of sleep apnea. Technology Overview This in-home system to diagnose sleep apnea saves the patient from having to spend a night in a sleep clinic...

Published: 10/3/2022 | Inventor(s): Peter Jacobs, Clara Mosquera-Lopez, Joseph Leitschuh, John Condon

Keywords(s): Device, Diagnostics

Category(s): Device, Diagnostics