Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jianyuan Feng"'
Autor:
Jianyuan Feng, Sediqeh Samadi, Nicole Hobbs, Kamuran Turksoy, Iman Hajizadeh, Ali Cinar, Caterina Lazaro, Mudassir Rashid, Zacharie Maloney, Elizabeth Littlejohn, Mert Sevil
Publikováno v:
Journal of Diabetes Science and Technology. 12:953-966
Background: Despite the recent advancements in the modeling of glycemic dynamics for type 1 diabetes mellitus, automatically considering unannounced meals and exercise without manual user inputs remains challenging. Method: An adaptive model identifi
Autor:
Rachel Brandt, Kamuran Turksoy, Sediqeh Samadi, Caterina Lazaro, Eda Cengiz, Mert Sevil, Xia Yu, Mudassir Rashid, Elizabeth Littlejohn, Zacharie Maloney, Jianyuan Feng, Iman Hajizadeh, Nicole Hobbs, Ali Cinar
Publikováno v:
Journal of Diabetes Science and Technology. 12:639-649
Background: The artificial pancreas (AP) system, a technology that automatically administers exogenous insulin in people with type 1 diabetes mellitus (T1DM) to regulate their blood glucose concentrations, necessitates the estimation of the amount of
Automatic Detection and Estimation of Unannounced Meals for Multivariable Artificial Pancreas System
Autor:
Sediqeh Samadi, Jianyuan Feng, Mudassir Rashid, Elizabeth Littlejohn, Nicole Hobbs, Kamuran Turksoy, Caterina Lazaro, Iman Hajizadeh, Mert Sevil, Ali Cinar
Publikováno v:
Diabetes Technology & Therapeutics. 20:235-246
Background: Automatically attenuating the postprandial rise in the blood glucose concentration without manual meal announcement is a significant challenge for artificial pancreas (AP) systems. In this study, a meal module is proposed to detect the co
Autor:
Nicole Hobbs, Zacharie Maloney, Jianyuan Feng, Ali Cinar, Mert Sevil, Caterina Lazaro, Mudassir Rashid, Sediqeh Samadi, Iman Hajizadeh, Xia Yu
Publikováno v:
IFAC-PapersOnLine. 51:714-719
Continuous glucose monitoring (CGM) sensors are a critical component of artificial pancreas (AP) systems that enable individuals with type 1 diabetes to achieve tighter blood glucose control. CGM sensor signals are often afflicted by a variety of ano
Autor:
Eda Cengiz, Nicole Frantz, Iman Hajizadeh, Kamuran Turksoy, Jianyuan Feng, Sediqeh Samadi, Mudassir Rashid, Ali Cinar, Mert Sevil
Publikováno v:
Industrial & Engineering Chemistry Research. 56:9846-9857
In this work the real-time estimation of plasma insulin concentration (PIC) to quantify the insulin in the bloodstream in patients with type 1 diabetes mellitus (T1DM) is presented. To this end, Hovorka’s model, a glucose–insulin dynamics model,
Autor:
Kamuran Turksoy, Sediqeh Samadi, Minsun Park, Iman Hajizadeh, Laurie Quinn, Jianyuan Feng, Elizabeth Littlejohn, Ali Cinar, Mert Sevil
Publikováno v:
Control Engineering Practice. 59:159-164
Post-prandial hyperglycemia can occur more frequently in artificial pancreas systems without meal announcements that trigger insulin boluses. Meal announcements are manual feedforward inputs. We have developed a meal-detection and meal bolusing algor
Autor:
Jennifer M. Kilkus, Iman Hajizadeh, Sediqeh Samadi, Jianyuan Feng, Nicole Hobbs, Kamuran Turksoy, Mert Sevil, Rachel Brandt, Ali Cinar, Caterina Lazaro, Elizabeth Littlejohn
Publikováno v:
Nutrition and Diabetes ISBN: 9781315200781
Nutrition and Diabetes
Nutrition and Diabetes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9544c256148b3c1ca9144b1461e60f1
https://doi.org/10.1201/b22121-22
https://doi.org/10.1201/b22121-22
Autor:
Jennifer M. Kilkus, Sediqeh Samadi, Ali Cinar, Elizabeth Littlejohn, Jianyuan Feng, Brooks Hibner, Nicole Hobbs, Caterina Lazaro, Iman Hajizadeh, Kamuran Turksoy, Laurie Quinn, Mert Sevil, Nancy Devine, Julia Ritthaler
Background: Exercise challenges people with type 1 diabetes in controlling their glucose concentration (GC). A multivariable adaptive artificial pancreas (MAAP) may lessen the burden. Methods: The MAAP operates without any user input and computes ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60e718cb662f28c906d09576a60d6542
https://europepmc.org/articles/PMC6161329/
https://europepmc.org/articles/PMC6161329/
Publikováno v:
IFAC-PapersOnLine. 49:753-758
Artificial pancreas (AP) control systems rely on signals from glucose sensors to collect glucose concentration (GC) information from people with Type 1 diabetes and compute insulin infusion rates to maintain GC within a desired range Sensor performan
Autor:
Nicole Hobbs, Ali Cinar, Zacharie Maloney, Rachel Brandt, Jianyuan Feng, Laurie Quinn, Mert Sevil, Sediqeh Samadi, Mudassir Rashid, Minsun Park, Iman Hajizadeh, Paul Kolodziej
Publikováno v:
Comput Chem Eng
A simulator for testing automatic control algorithms for nonlinear systems with time-varying parameters, variable time delays, and uncertainties is developed. It is based on simulation of virtual patients with Type 1 diabetes (T1D). Nonlinear models