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Basic and Clinical Neuroscience|June 16, 2016
A Study of Various Feature Extraction Methods on a Motor Imagery Based Brain Computer Interface SystemSeyed Navid Resalat, Valiallah Saba
Basic and Clinical Neuroscience|December 2, 2014
Real Time Driver's Drowsiness Detection by Processing the EEG Signals Stimulated with External Flickering LightAmjad Hashemi, Valiallah Saba, Seyed Navid Resalat
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 23, 2017
Design of a dual-hormone model predictive control for artificial pancreas with exercise modelNavid Resalat, Joseph El Youssef, Ravi Reddy, et al.
IEEE Journal of Biomedical and Health Informatics|April 19, 2019
Leveraging a Big Dataset to Develop a Recurrent Neural Network to Predict Adverse Glycemic Events in Type 1 DiabetesClara Mosquera-Lopez, Robert Dodier, Nichole Tyler, et al.
Journal of Diabetes Science and Technology|October 10, 2019
Adaptive Control of an Artificial Pancreas Using Model Identification, Adaptive Postprandial Insulin Delivery, and Heart Rate and Accelerometry as Control InputsNavid Resalat, Wade Hilts, Joseph El Youssef, et al.
Journal of Diabetes Science and Technology|January 18, 2019
Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 DiabetesRavi Reddy, Navid Resalat, Leah M Wilson, et al.
Journal of Diabetes Science and Technology|October 7, 2015
Incorporating an Exercise Detection, Grading, and Hormone Dosing Algorithm Into the Artificial Pancreas Using Accelerometry and Heart RatePeter G Jacobs, Navid Resalat, Joseph El Youssef, et al.
Diabetes Care|May 13, 2018
Randomized Outpatient Trial of Single- and Dual-Hormone Closed-Loop Systems That Adapt to Exercise Using Wearable SensorsJessica R Castle, Joseph El Youssef, Leah M Wilson, et al.
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