Predicting Goal Attainment in Process-Oriented Behavioral Interventions Using a Data-Driven System Identification Approach [0.03%]
基于数据驱动的系统识别方法在过程导向行为干预中预测目标实现程度
Sarasij Banerjee,Rachael T Kha,Daniel E Rivera et al.
Sarasij Banerjee et al.
Behavioral interventions (such as those developed to increase physical activity, achieve smoking cessation, or weight loss) can be represented as dynamic process systems incorporating a multitude of factors, ranging from cognitive (internal...
State estimation of the time-space propagation of COVID-19 using a distributed parameter observer based on a SEIR-type model [0.03%]
基于SEIR模型的分布式参数观测器在COVID-19时空传播状态估计中的应用研究
Ivan F Y Tello,Alain Vande Wouwer,Daniel Coutinho
Ivan F Y Tello
The real-time prediction and estimation of the spread of diseases, such as COVID-19 is of paramount importance as evidenced by the recent pandemic. This work is concerned with the distributed parameter estimation of the time-space propagati...
On timeline of enhancing testing-capacity of COVID-19: A case study via an optimal replacement model [0.03%]
COVID-19检测能力提升的时间线：通过最优替换模型进行案例分析
R G U I Meththananda,N C Ganegoda,S S N Perera et al.
R G U I Meththananda et al.
Process of enhancing testing-capacity regarding COVID-19 is a topic of interest. This task of enhancing is constrained by socio-economic background of a country either in favorable or unfavorable ways. In this paper, we investigate timing o...
State estimation-based control of COVID-19 epidemic before and after vaccine development [0.03%]
疫苗研发前后基于状态估计的新冠肺炎疫情防控策略研究
Arman Rajaei,Mahsa Raeiszadeh,Vahid Azimi et al.
Arman Rajaei et al.
In this study, a nonlinear robust control policy is designed together with a state observer in order to manage the novel coronavirus disease (COVID-19) outbreak having an uncertain epidemiological model with unmeasurable variables. This non...
Closed-Loop Control with Unannounced Exercise for Adults with Type 1 Diabetes using the Ensemble Model Predictive Control [0.03%]
使用集合模型预测控制的成人I型糖尿病患者在未通知运动情况下的闭环控制
Jose Garcia-Tirado,John P Corbett,Dimitri Boiroux et al.
Jose Garcia-Tirado et al.
This paper presents an individualized Ensemble Model Predictive Control (EnMPC) algorithm for blood glucose (BG) stabilization and hypoglycemia prevention in people with type 1 diabetes (T1D) who exercise regularly. The EnMPC formulation ca...
Plasma-Insulin-Cognizant Adaptive Model Predictive Control for Artificial Pancreas Systems [0.03%]
基于胰岛素作用的自适应模型预测控制人工胰腺系统
Iman Hajizadeh,Mudassir Rashid,Ali Cinar
Iman Hajizadeh
An adaptive model predictive control (MPC) algorithm with dynamic adjustments of constraints and objective function weights based on estimates of the plasma insulin concentration (PIC) is proposed for artificial pancreas (AP) systems. A per...
A New Animal Model of Insulin-Glucose Dynamics in the Intraperitoneal Space Enhances Closed-Loop Control Performance [0.03%]
一种新的腹腔胰岛素-血糖动力学动物模型可提升闭环控制性能
Ankush Chakrabarty,Justin M Gregory,L Merkle Moore et al.
Ankush Chakrabarty et al.
Current artificial pancreas systems (AP) operate via subcutaneous (SC) glucose sensing and SC insulin delivery. Due to slow diffusion and transport dynamics across the interstitial space, even the most sophisticated control algorithms in on...
Hybrid online sensor error detection and functional redundancy for systems with time-varying parameters [0.03%]
具有时变参数的系统的混合在线传感器故障检测与功能冗余方法研究
Jianyuan Feng,Kamuran Turksoy,Sediqeh Samadi et al.
Jianyuan Feng et al.
Supervision and control systems rely on signals from sensors to receive information to monitor the operation of a system and adjust manipulated variables to achieve the control objective. However, sensor performance is often limited by thei...
Development of a multi-parametric model predictive control algorithm for insulin delivery in type 1 diabetes mellitus using clinical parameters [0.03%]
基于临床参数的一型糖尿病胰岛素输送的多参量模型预测控制算法的发展
M W Percival,Y Wang,B Grosman et al.
M W Percival et al.
A multi-parametric model predictive control (mpMPC) algorithm for subcutaneous insulin delivery for individuals with type 1 diabetes mellitus (T1DM) that is computationally efficient, robust to variations in insulin sensitivity, and involve...
Rutao Luo,Lamont Cannon,Jason Hernandez et al.
Rutao Luo et al.
Evolution has long been understood as the driving force for many problems of medical interest. The evolution of drug resistance in HIV and bacterial infections is recognized as one of the most significant emerging problems in medicine. In c...