Iñaki Martínez-Sarriegui

Gestational diabetes (GDM) burden has been increasing progressively over the past years. Knowing that intrauterine exposure to maternal diabetes confers high risk for macrosomia as well as for future type 2 diabetes and obesity of the offspring, health care organizations try to provide effective control in spite of the limited resources. Artificial...

MobiGuide is a ubiquitous, distributed and personalized evidence-based decision-support system (DSS) used by patients and their care providers. Its central DSS applies computer-interpretable clinical guidelines (CIGs) to provide real-time patient-specific and personalized recommendations by matching CIG knowledge with a highly-adaptive patient mode...

Objectives: The MobiGuide project aimed to establish a ubiquitous, user-friendly, patient-centered mobile decision-support system for patients and for their care providers, based on the continuous application of clinical guidelines and on semantically integrated electronic health records. Patients would be empowered by the system, which would enab...

MobiGuide is a distributed decision-support system (DSS) that provides decision support for patients and physicians. Patients receive support using a light-weight Smartphone DSS linked to data arriving from wearable monitoring devices and physicians receive support via a web interface connected to a backend DSS that has access to an integrated pers...

Background The risks associated with gestational diabetes (GD) can be reduced with an active treatment able to improve glycemic control. Advances in mobile health can provide new patient-centric models for GD to create personalized health care services, increase patient independence and improve patients’ self-management capabilities, and potentiall...

Healthy diet and regular physical activity are powerful tools in reducing diabetes and cardiometabolic risk. Various international scientific and health organizations have advocated the use of new technologies to solve these problems. The PREDIRCAM project explores the contribution that a technological system could offer for the continuous monitori...

In this paper we present TRHIOS: a Trust and Reputation system for HIerarchical and quality-Oriented Societies. We focus our work on hierarchical medical organizations. The model estimates the reputation of an individual, RTRHIOS, taking into account information from three trust dimensions: the hierarchy of the system; the source of information; an...

En este artículo presentamos un sistema de videoconferencia web de bajo coste cuyo objetivo es mejorar la comunicación entre Atención Primaria y Atención Especializada optimizando los recursos y la calidad de la atención en enfermedades con alta prevalencia en la actualidad. En este caso se utiliza para problemas metabólicos como la diabetes o pa...

Aims: This work presents the evaluation of an on-line glucose prediction algorithm based on a neural network model (NNM) during a cross-correlation clinical study. Material and methods: The on-line prediction algorithm was implemented on a portable personal digital assistant (PDA) where the patient types manually the last 5 continuous glucose monit...

This work explores the automatic recognition of physical activity intensity patterns from multi-axial accelerometry and heart rate signals. Data collection was carried out in free-living conditions and in three controlled gymnasium circuits, for a total amount of 179.80 h of data divided into: sedentary situations (65.5%), light-to-moderate activit...

The main aim was to improve communication between general practitioners (GPs) and endocrinologist optimizing the resources and the quality of care regarding high prevalence pathologies such as diabetes and other metabolic disturbances. Thus, we have developed a new application for real-time communication between endocrinologist and GP’s through low...

Aims: This work presents the PredEval web tool that aims to help researchers in the evaluation of glucose predictor algorithms by implementing a complete evaluation methodology for comparing any glucose predictor output versus the original continuous glucose monitoring (CGM) profile. Methods: PredEval estimates the mean model behaviour by the root...

The aim of our study was to test the effectiveness and security of an on-line artificial neural network (ANN) algorithm for glucose prediction (30 min) from RT-CGM applied to correct interprandial hyperglycaemia. Materials and methods: Twelve DM1 patients treated with insulin pumps were included in this randomized cross-over clinical study. In both...

The combination of telemedicine systems integrating mobile technologies with the use of continuous glucose monitors improves patients' glycemic control but demands a higher interaction with information technology tools that must be assessed. In this article, we analyze patients' behavior from the use-of-the-system point of view, identifying how con...

The integration of continuous subcutaneous insulin infusion (CSII) (insulin pump therapy) and continuous interstitial glucose monitoring (CGM) appears to be an excellent solution for obtaining the desirable metabolic control for most insulin-treated subjects (1–4). Several studies have suggested that CGM with readings in real-time (CGM-RT) further...

The use of telemedicine for diabetes care has evolved over time, proving that it contributes to patient self-monitoring, improves glycemic control, and provides analysis tools for decision support. The timely development of a safe and robust ambulatory artificial pancreas should rely on a telemedicine architecture complemented with automatic data a...

The accurate interpretation of Blood Glucose (BG) values is essential for diabetes care. However, BG monitoring data does not provide complete information about associated meal and moment of measurement, unless patients fulfil it manually. An automatic classification of incomplete BG data helps to a more accurate interpretation, contributing to Kno...

Advanced information technologies joined to the increasing use of continuous medical devices for monitoring and treatment, have made possible the definition of a new telemedical diabetes care scenario based on a hand-held Personal Assistant (PA). This paper describes the architecture, functionality and implementation of the PA, which communicates d...

This paper presents the modelling and formal specification of a telemedicine system for diabetes care. In such scenario, the multiagent technology supports the distributed autonomy of several Personal Assistants; the communications between them and the hospital's agents; the control of the system's access and multitask functionality; scalability; a...

This work presents a generic tool based on a client-server architecture that generates electronic reports helping the evaluation process of any information system. For the specific evaluation of telemedicine systems the defined reports cover four dimensions: auditory of the system; evolution of clinical protocols; results from the questionnaires fo...

The growing availability of continuous data from medical devices in diabetes management makes it crucial to define novel information technology architectures for efficient data storage, data transmission, and data visualization. The new paradigm of care demands the sharing of information in interoperable systems as the only way to support patient c...

Diabetes Mellitus is nowadays one of the most frequent non-contagious diseases in the world and remains a major health problem for the national health care programs. It is well proved that Telemedicine helps diabetic patients controlling their glucose levels, facilitating their day to-day therapy management and the communication with health care pe...

Diabetes mellitus is nowadays one of the most frequent noncontagious diseases in the world and remains a major health problem for national health care programs. It is well proved that telemedicine helps diabetic patients control their glucose levels, facilitating their day-to-day therapy management and communication with health care personnel. The...