Tag: Zavitsanou

January 7, 2019 Read More →

Design and Clinical Evaluation of the Interoperable Artificial Pancreas System (iAPS): Interoperable Components with Modular Design for Progressive Artificial Pancreas Research and Developement

S. Deshpande, J. E. Pinsker, S. Zavitsanou, D. Shi, R. Tompot, M. M. Church, C. Andre, F. J. Doyle III, E. Dassau.  Diabetes Technology & Therapeutics. 2018.

October 10, 2017 Read More →

A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance

Stamatina Zavitsanou, Joon Bok Lee, Jordan E. Pinsker, Mei Mei Church, Francis J. Doyle III, Eyal Dassau, A Personalized Week-to-Week Updating Algorithm to Improve Continuous Glucose Monitoring Performance, Journal of Diabetes Science and Technology, Accepted

Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems
May 24, 2017 Read More →

Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems

Check out our most recent publication, regarding a power-efficient algorithm for implementing the artificial pancreas on a chip! See the preprint here.

Posted in: News
May 24, 2017 Read More →

Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems

A. Chakrabarty, S. Zavitsanou, F. J. Doyle III, E. Dassau, “Event-Triggered Model Predictive Control For Embedded Artificial Pancreas Systems.” Preprint available, IEEE Trans. Biomedical Engineering, May 2017.

September 26, 2016 Read More →

Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas

S. Zavitsanou, A. Chakrabarty, E. Dassau, and F.J. Doyle III. “Embedded Control in Wearable Medical Devices: Application to the Artificial Pancreas.” Processes 4(4), 35, 2016. doi:10.3390/pr4040035