ArticleIEEE transactions on bio-medical engineering2014
Automated control of an adaptive bihormonal, dual-sensor artificial pancreas and evaluation during inpatient studies.
Article in IEEE transactions on bio-medical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02688218 (Testing and Tuning a Multiparameter Exercise Detection Algorithm), which is not on this map. Cited by 36 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Testing and Tuning a Multiparameter Exercise Detection Algorithm
Who cites it
36 citing papers in PubMed.
- Integrating metabolic expenditure information from wearable fitness sensors into an AI-augmented automated insulin delivery system: a randomised clinical trial.The Lancet. Digital health · 2023Trial
- Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.Journal of diabetes science and technology · 2019Trial
- Randomized Outpatient Trial of Single- and Dual-Hormone Closed-Loop Systems That Adapt to Exercise Using Wearable Sensors.Diabetes care · 2018Trial
- Outpatient Closed-Loop Control with Unannounced Moderate Exercise in Adolescents Using Zone Model Predictive Control.Diabetes technology & therapeutics · 2017Trial
- Randomized trial of a dual-hormone artificial pancreas with dosing adjustment during exercise compared with no adjustment and sensor-augmented pump therapy.Diabetes, obesity & metabolism · 2016Trial
- Performance and safety of an integrated bihormonal artificial pancreas for fully automated glucose control at home.Diabetes, obesity & metabolism · 2016Trial
- Sensitivity of the Predictive Hypoglycemia Minimizer System to the Algorithm Aggressiveness Factor.Journal of diabetes science and technology · 2015Trial
- Early Stages of Automated Insulin Delivery.Diabetes technology & therapeutics · 2025Review
- Early Stages of Automated Insulin Delivery.Journal of diabetes science and technology · 2025Review
- Dosing Algorithms for Insulin Pumps.Diabetes spectrum : a publication of the American Diabetes Association · 2025Article
- Enabling fully automated insulin delivery through meal detection and size estimation using Artificial Intelligence.NPJ digital medicine · 2023Article
- Adaptive Personalized Prior-Knowledge-Informed Model Predictive Control for Type 1 Diabetes.Control engineering practice · 2023Article
- Examining Sensor Agreement in Neural Network Blood Glucose Prediction.Journal of diabetes science and technology · 2022Article
- Incorporating Glucose Variability into Glucose Forecasting Accuracy Assessment Using the New Glucose Variability Impact Index and the Prediction Consistency Index: An LSTM Case Example.Journal of diabetes science and technology · 2022Article
- Measuring glucose at the site of insulin delivery with a redox-mediated sensor.Biosensors & bioelectronics · 2020Article
- Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.Endocrine reviews · 2019Review
- Adaptive Control of an Artificial Pancreas Using Model Identification, Adaptive Postprandial Insulin Delivery, and Heart Rate and Accelerometry as Control Inputs.Journal of diabetes science and technology · 2019Article
- Automated Insulin Delivery Algorithms.Diabetes spectrum : a publication of the American Diabetes Association · 2019Article
- Capabilities of Next-Generation Patch Pump: Improved Precision, Instant Occlusion Detection, and Dual-Hormone Therapy.Journal of diabetes science and technology · 2019Article
- A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model.PloS one · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
Automated control of blood glucose in patients with type-1 diabetes has not yet been fully implemented. The aim of this study was to design and clinically evaluate a system that integrates a control algorithm with off-the-shelf subcutaneous sensors and pumps to automate the delivery of the hormones glucagon and insulin in response to continuous glucose sensor measurements. The automated component of the system runs an adaptive proportional derivative control algorithm which determines hormone delivery rates based on the sensed glucose measurements and the meal announcements by the patient. We provide details about the system design and the control algorithm, which incorporates both a fading memory proportional derivative controller (FMPD) and an adaptive system for estimating changing sensitivity to insulin based on a glucoregulatory model of insulin action. For an inpatient study carried out in eight subjects using Dexcom SEVEN PLUS sensors, prestudy HbA1c averaged 7.6, which translates to an estimated average glucose of 171 mg/dL. In contrast, during use of the automated system, after initial stabilization, glucose averaged 145 mg/dL and subjects were kept within the euglycemic range (between 70 and 180 mg/dL) for 73.1% of the time, indicating improved glycemic control. A further study on five additional subjects in which we used a newer and more reliable glucose sensor (Dexcom G4 PLATINUM) and made improvements to the insulin and glucagon pump communication system resulted in elimination of hypoglycemic events. For this G4 study, the system was able to maintain subjects' glucose levels within the near-euglycemic range for 71.6% of the study duration and the mean venous glucose level was 151 mg/dL.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.