A5033973798- Diabetes Management and Research
- Pancreatic function and diabetes
- Diabetes and associated disorders
- Advanced Control Systems Optimization
- Wireless Body Area Networks
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Diabetes Treatment and Management
- Diet, Metabolism, and Disease
- Smart Grid Energy Management
- Food composition and properties
- Consumer Attitudes and Food Labeling
- Field-Flow Fractionation Techniques
- Nutrition, Genetics, and Disease
- Intravenous Infusion Technology and Safety
- Optimal Experimental Design Methods
- IoT and Edge/Fog Computing
Harvard University
2016-2019
Sansum Diabetes Research Institute
2017-2019
Imperial College London
2011-2015
The development of artificial pancreas (AP) technology for deployment in low-energy, embedded devices is contingent upon selecting an efficient control algorithm regulating glucose people with type 1 diabetes mellitus. In this paper, we aim to lower the energy consumption AP by reducing controller updates, that is, number times decision-making invoked compute appropriate insulin dose.Physiological insights into management are leveraged design event-triggered model predictive (MPC) operates...
There is an unmet need for a modular artificial pancreas (AP) system clinical trials within the existing regulatory framework to further AP research projects from both academia and industry. We designed, developed, tested interoperable (iAPS) smartphone app that can interface wirelessly with leading continuous glucose monitors (CGM), insulin pump devices, decision-making algorithms while running on unlocked smartphone.After algorithm verification, hazard mitigation analysis, complete...
Abstract Background Postbariatric hypoglycemia (PBH) can threaten safety and reduce quality of life. Current therapies are incompletely effective. Methods Patients with PBH were enrolled in a double-blind, placebo-controlled, crossover trial to evaluate closed-loop glucose-responsive automated glucagon delivery system designed severe hypoglycemia. A detection mitigation algorithm was embedded the artificial pancreas connected continuous glucose monitor (CGM, Dexcom) driving patch infusion...
Significant increases in processing power, coupled with the miniaturization of units operating at low power levels, has motivated embedding modern control systems into medical devices. The design such embedded decision-making strategies for applications is driven by multiple crucial factors, as: (i) guaranteed safety presence exogenous disturbances and unexpected system failures; (ii) constraints on computing resources; (iii) portability longevity terms size consumption; (iv) manufacturing...
This study presents a general closed-loop control strategy for optimal insulin delivery in type 1 Diabetes Mellitus (T1DM). The proposed aims toward an individualized that consists of patient-specific model predictive controller, state estimator, personalized scheduling level, and open-loop optimization problem subjected to process constraints. can be also modified address the case limited patient data availability resulting "approximation" strategy. Both strategies are validated silico...
Background: Food choices are essential to successful glycemic control for people with diabetes. We compared the impact of three carbohydrate-rich meals on postprandial response in adults type 1 diabetes (T1D). Methods: performed a randomized crossover study 12 T1D (age 58.7 ± 14.2 years, baseline hemoglobin A1c 7.5% 1.3%) comparing using continuous glucose monitoring: (1) "higher protein" pasta containing 10 g protein/serving, (2) regular 7 and (3) extra-long grain white rice. All contained...
While artificial pancreas (AP) systems are expected to improve the quality of life among people with type 1 diabetes mellitus (T1DM), design convenient that optimize user experience, especially for those active lifestyles, such as children and adolescents, still remains an open research question. In this work, we introduce embeddable implementation model predictive control (MPC) AP T1DM significantly reduces weight on-body footprint system. The controller is based on a zone MPC has been...
Embedded or wearable artificial pancreas (AP) systems must be capable of low energy operation to ameliorate battery depletion and reduce the need for frequent recharge cycles. One major contributors drain such embedded AP is power utilized wireless communication among components AP: continuous glucose monitor (CGM), control module, insulin pump, mobile app display. In this paper, an event-triggered (ETC) algorithm proposed reducing sensor-to-controller transmissions. Concretely, a CGM value...
Background: Continuous glucose monitoring (CGM) systems are increasingly becoming essential components in type 1 diabetes mellitus (T1DM) management. Current CGM technology requires frequent calibration to ensure accurate sensor performance. The accuracy of these is great importance since medical decisions made based on monitored values and trends. Methods: In this work, we introduce a strategy that augmented with weekly updating feature. During the life cycle sensor, mechanism periodically...
An essential component in the design of a wearable or implantable artificial pancreas is low-power, embedded control algorithm capable tight glucose regulation people with Type 1 Diabetes Mellitus (T1DM). In this paper, physiological insights into management are leveraged to formulate safety-constrained, event-triggered model predictive (MPC) customized reduce number controller updates, leading reduced processor runtime and lowered energy expenditure. The proposed MPC deployed on (65 mm × 30...
Current therapies for post-bariatric hypoglycemia (PBH) are incompletely effective. We previously reported feasibility of an open-loop glucagon system this challenging syndrome. In study, patients with PBH were enrolled in a double-masked, placebo-controlled, crossover trial to determine the efficacy closed-loop mini-dose delivery reduce severe after mixed meal. A novel detection & mitigation algorithm was embedded Artificial Pancreas System connected continuous glucose monitor (CGM, Dexcom)...
Background: Food choices are essential to successful glycemic control in persons with diabetes. Methods: Twelve adults type 1 diabetes (T1D) (age 58.7±14.2 years, HbA1c 7.5±1.3%) completed an in-clinic double-blinded crossover study comparing the response higher protein pasta (10 grams protein/serving), regular (7 and white rice. All meals contained 42 carbohydrate, were served homemade tomato sauce, green salad balsamic dressing, repeated random order. Linear mixed effects models assessed 5...