Browsing Institut d'Informàtica i Aplicacions by Author "Universitat de Girona. Departament d'Enginyeria Elèctrica, Electrònica i Automàtica"

Now showing items 1-10 of 10

Condition assessment of patients with Type 1 diabetes using compositional data analysis

Biagi, Lyvia (Date of defense: 2019-07-09)

Type 1 Diabetes Mellitus (T1DM) is a chronic disease that leads to absolute insulin deficiency. People with T1DM need exogenous insulin to maintain glucose at proper levels. Achieving optimal glycemic control is a major ...

Data-driven approaches for event detection, fault location, resilience assessment, and enhancements in power systems

Souto, Laiz (Date of defense: 2021-01-15)

This thesis presents the study and development of distinct data-driven techniques to support event detection, fault location, and resilience assessment towards enhancements in power systems. It is divided in three main ...

Data-driven models for type 1 diabetes using generative deep learning

Mujahid, Omer (Date of defense: 2023-09-19)

Modeling biological systems has always been challenging given the complexity of the processes involved in them. Experts have been employing physiological models to approximate the dynamics of biological systems; however, ...

Decision support framework for space-use optimization and arrangement of public services

Rusek, Robert (Date of defense: 2017-05-24)

The thesis concentrates particularly on how to enhance space-use in the case of public facilities. This issue has been approached by repurposing existing facilities and introducing additional services, thereby creating ...

Development and validation of strategies to mitigate the risk of hypoglycemic events in type 1 diabetes mellitus

Bertachi, Arthur Hirata (Date of defense: 2019-07-08)

Type 1 diabetes mellitus (T1DM) is a chronic condition resulting from the destruction of insulin-producing pancreatic beta-cells due to an autoimmune process that may occur at any age, but tends to develop in childhood and ...

Enfoques metodológicos para mejorar la precisión y fiabilidad de los sistemas de monitorización continua de glucosa en pacientes con diabetes tipo 1 y en pacientes críticos mediante técnicas lineales y no lineales

Leal Moncada, Yenny Teresa (Date of defense: 2013-07-30)

This dissertation focuses on the development and improvement of the minimally invasive continuous glucose monitoring systems (CGMS). This dissertation gives emphasis in solving the problem of the accuracy and reliability ...

Multivariate statistical modelling and monitoring of smart buildings

Burgas Nadal, Llorenç (Date of defense: 2019-11-22)

In order to reduce mismatches between real and expected consumption, this thesis explores the use of PCA (Principal Component Analysis) as a modelling tool for buildings. PCA is a statistical technique that allows complex ...

Novel methods for the efficacy and safety in the artificial pancreas intended for domiciliary use

Ramkissoon, Charrise Mary (Date of defense: 2019-03-07)

Type 1 diabetes (T1D) is an autoimmune disease that targets the insulin producing β-cells in the pancreas that results in chronically elevated blood glucose (BG) levels and requires lifelong insulin-replacement therapy. ...

Prediction of postprandial blood glucose under intra-patient variability and uncertainty and its use in the design of insulin dosing strategies for type 1 diabetic patients

García Jaramillo, Maira Alejandra (Date of defense: 2011-07-22)

In this thesis I propose a novel method to estimate the dose and injection-to-meal time for low-risk intensive insulin therapy. This dosage-aid system uses an optimization algorithm to determine the insulin dose and ...

Reinforcement learning for bolus insulin dosing for people with type 1 diabetes

Ahmad, Sayyar (Date of defense: 2024-01-18)

Type 1 Diabetes (T1D) is a chronic metabolic disorder caused by destruction of the insulin producing beta cells in the islets of Langerhans within the pancreas due to an autoimmune reaction. T1D is distinguished by elevated ...