Maria Elena Hernando

Universidad Politécnica de Madrid | UPM · Departamento de Tecnología Fotónica

Objectives: Innovative precision dietary procedures are required to promote healthy aging. This study aimed to evaluate the effects of a personalised strategy based on the inclusion of individualised foods and digital tools on overall health status and quality of life within a follow-up of 3 months in older adults with overweight or obesity. Method...

Type 2 diabetes is a highly heterogeneous disease for which new subgroups (‘clusters’) have been proposed based on disease severity: moderate age-related diabetes (MARD), moderate obesity-related diabetes (MOD), severe insulin-deficient diabetes (SIDD) and severe insulin-resistant diabetes (SIRD). It is unknown how disease severity is reflected in...

General anesthesia has improved considerably over the years due to the automation of drug perfusion through closed-loop control which provided numerous advantages regarding efficiency and patient safety. This work describes the implementation and Validation of a control algorithm based on a multiple-input and multiple-output proportional–integral–d...

El infarto agudo de miocardio (IAM) es una de las principales causas de muerte a nivel mundial [1]. A pesar de ello, en los últimos años la tasa de mortalidad por IAM ha ido disminuyendo, principalmente debido a la mejora de los cuidados agudos hospitalarios, como la intervención coronaria percutánea (ICP), y a la implementación de medidas de preve...

The collection of health data for research and other secondary purposes must evolve from a paradigm based on the manual recording in specific information systems for a purpose of exploitation, towards an effective reuse of the data recorded during the care process in the Electronic Health Record, known as real-world data (RWD). However, to achieve...

This paper presents an artificial pancreas algorithm implemented with a discrete-time sliding-mode method combined with a nonlinear block controllable form using a unidirectional control law and a discrete adaptive observer. The algorithm is both unidirectional, using insulin as unique input, and hybrid with a percentage of the pre-meal bolus admin...

Is a graphical abstract for the scientific paper Linear Time-Varying Luenberger Observer Applied to Diabetes, published on IEEE Access. The graphical abstract summarizes the methodological implementation to develop the time-varying Luenberguer observer to estimate the unmeasurable variables of glucose-insulin dynamic based on the structure of Bergm...

Pregnancy complicated with diabetes is a growing health problem which produces adverse maternal and neonatal outcomes that can be avoided by close medical support. The burden related to diabetes in pregnancy can negatively impact a woman's psychological health and jeopardize adherence to prescribed treatments. On the other hand, the high prevalence...

Introduction Patients with type 1 diabetes (T1D) require the administration of insulin to maintain glycemic control. Currently, two modes of subcutaneous insulin delivery have gained wider acceptance: multiple daily injections (MDI) and continuous subcutaneous insulin infusion (CSII). Randomized controlled trials have shown that CSII is associated...

Diabetes is a chronic disease that affects a high percentage of the world population and produces different and serious complications to patients. Most diabetes complications may be avoided by controlling the blood glucose levels exhaustively. Moreover, a prediction of future glucose levels has shown to be fundamental in helping patients to plan an...

Introduction Diabetes monitoring systems (DMS) are a possible approach for regular control of glucose levels in patients with Type 1 or 2 diabetes in order to improve therapeutic outcomes or to identify and modify inappropriate patient behaviors in a timely manner. Despite the significant number of studies observing the DMS, no collective evidence...

The high prevalence of drug addiction is a major health challenge that pressures healthcare systems to respond with cost-effective treatments. To improve the treatment success of drug-dependent patients, it is necessary to identify the main associated risk factors for dropping out of treatment. Previous research shows disparate results due to the w...

We describe our experience in the remote management of women with gestational diabetes mellitus during the COVID-19 pandemic. We used a mobile phone application with artificial intelligence that automatically classifies and analyses the data (ketonuria, diet transgressions, and blood glucose values), making adjustment recommendations regarding the...

Background and objective: In the last decade, several technological solutions have been proposed as artificial pancreas systems able to treat type 1 diabetes; most often they are built based on a control algorithm that needs to be validated before it is used with real patients. Control algorithms are usually tested with simulation tools that integ...

VR P300-based BCI has proven to be a suitable method for training social attention skills in youngsters with autism spectrum disorder (ASD). In this study, we present a method that could be used in such an application to identify which object the user is paying attention to in a virtual environment by means of EEG recordings only. Temporal and time...

Background: The automation of glucose control has been an important goal of diabetes treatment for many decades. The first artificial pancreas experiences were in-hospital, closely supervised, small-scale, and short-term studies that demonstrated their superiority over continuous subcutaneous insulin infusion therapy. At present, long-term outpati...

We present a linear time-varying Luenberger observer (LTVLO) using compartmental models to estimate the unmeasurable states in patients with type 1 diabetes. The LTVLO proposed is based on the linearization in an operation point of the virtual patient (VP), where a linear time-varying system is obtained. LTVLO gains are obtained by selection of the...

Background: The increasing number of patients with acquired brain injury and the current subjectivity of the conventional upper extremity (UE) assessment tests require new objective assessment techniques. Objective: This research proposes a novel objective motor assessment (OMA) methodology based on the Fugl-Meyer assessment (FMA). The goals are...

An ongoing clinical trial is testing the efficacy of web telematic support in a structured program for obesity treatment and diabetes prevention. Participants were recruited from two tertiary-care hospitals and randomized to receive either a telematic intervention (TI) supported by PREDIRCAM2 web platform or a non-telematic intervention (NTI). All...

Background: In type 1 diabetes mellitus (T1DM), patients play an active role in their own care and need to have the knowledge to adapt decisions to their daily living conditions. Artificial intelligence applications can help people with type 1 diabetes in decision making and allow them to react at time scales shorter than the scheduled face-to-fac...

Background: Telemedicine is becoming increasingly important in Ecuador, especially in areas such as rural primary healthcare and medical education. Rural telemedicine programs in the country need to be strengthened by means of a technological platform adapted to local surroundings and offering advantages such as access to specialized care, continu...

En la actualidad, la prevalencia de las enfermedades no transmisibles (Non-communicable diseases NCD) y la cantidad de muertes causadas por éstas es muy elevada, en su mayoría, consecuencia del envejecimiento de la población, el aumento de la obesidad y los hábitos de vida sedentarios. En este trabajo se describen el funcionamiento y los resultados...

We present a linear time-varying Luenberger observer (LTVLO) using compartmental models to estimate the unmeasurable states in patients with type 1 diabetes. The LTVLO proposed is based on the linearization in an operation point of the virtual patient (VP), where a linear time-varying system is obtained. LTVLO gains are obtained by selection of the...

We present a linear time-varying Luenberger observer (LTVLO) using compartmental models to estimate the unmeasurable states in patients with type 1 diabetes. The LTVLO proposed is based on the linearization in an operation point of the virtual patient (VP), where a linear time-varying system is obtained. LTVLO gains are obtained by selection of the...

http://www.sciencedirect.com/science/article/pii/S1386505617300539 The growth of diabetes prevalence is causing an increasing demand in health care services which affects the clinicians’ workload as medical resources do not grow at the same rate as the diabetic population. Decision support tools can help clinicians with the inspection of monitorin...

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...

In the past decade diabetes management has been transformed by the addition of continuous glucose monitoring and insulin pump data. More recently, a wide variety of functions and physiologic variables, such as heart rate, hours of sleep, number of steps walked and movement, have been available through wristbands or watches. New data, hydration, geo...

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...

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...

El Proyecto PERSSILAA “PERsonalised ICT Supported Services for Independent Living and Active Ageing” es un proyecto europeo financiado por el FP7 en el que se desarrolla y valida un nuevo modelo de servicio, para detectar y prevenir la fragilidad en comunidades de personas mayores, integrando los dominios cognitivos, físico y nutricional. PERSSILAA...

INTRODUCCIÓN:PREDIRCAM2 es una plataforma para facilitar el tratamiento y seguimiento de personas con obesidad, con módulos de registro alimentario, análisis nutricional, monitorización de actividad física, variables antropométricas y algoritmos de ayuda a la decisión. Actualmente se está evaluando su eficacia en el tratamiento multidisciplinario e...

Introduction This research work is part of the PERSSILAA project [1], a unique project that aims to develop and validate a new service model for older people, to screen for and prevent frailty in older adults. This multimodal service model, focusing on nutrition, physical and cognitive functioning, is supported by an interoperable ICT service infra...

Background: Physical activity (PA) is essential to prevent and to treat a variety of chronic diseases. The automated detection and quantification of PA over time empowers lifestyle interventions, facilitating reliable exercise tracking and data-driven counseling. Methods: We propose and compare various combinations of machine learning (ML) schem...

Expert systems for diabetes care need to automatically evaluate glycaemia measurements in relationship to meals to correctly determine patients’ metabolic condition and generate recommendations about ther- apy adjustments. Most glucose meters allow patients to manually label each measurement with a meal tag, but as this utility is not always used,...

The management of postprandial glucose excursions in type 1 diabetes has a major impact on overall glycaemic control. In this work, we propose and evaluate various mechanistic models to characterize the disposal of meal-attributable glucose. Sixteen young volunteers with type 1 diabetes were subject to a variable-target clamp which replicated gluco...

This paper introduces a new approach for upper limb neurorehabilitation based on customized devices for monitoring and interacting with virtual environments. A proof-of-concept test involving eight patients at the Guttmann Neurorehabilitation Hospital shows patient's good acceptance and usability scores and demonstrates the technically feasibility...

Los nuevos criterios de diagnóstico de la diabetes gestacional recomendados por la IADPSGC disminuyen los efectos adversos de la hiperglucemia tanto en la madre como en el recién nacido, pero su aplicación supondría un aumento de la prevalencia llegando a triplicar el número de casos actual. Para que los Servicios de Endocrinología y Nutrición pued...

En la actualidad, la prevalencia de las enfermedades no transmisibles (Non-communicable diseases NCD) y la cantidad de muertes causadas por éstas es muy elevada, en su mayoría, consecuencia del envejecimiento de la población, el aumento de la obesidad y los hábitos de vida sedentarios. En este trabajo se describe el funcionamiento y las característ...

En este trabajo se propone un método de comunicaciones para la monitorización de pacientes diabéticos basado en el patrón publicador/suscriptor el cual potencia la escalabilidad de dispositivos y usuarios y posee un alto nivel de flexibilidad. Con el fin de realizar una primera validación de la propuesta, se ha implementado un escenario simulado de...

Gestational diabetes (GD) confers an increased risk of complications as well as future type 2 diabetes. We assess the safety and efficacy of an artificial intelligence (AI)-augmented telemedicine system (ruled-based reasoning) that includes a blood glucose (BG) classifier (C4.5 Quinlan decision tree) in comparison with the standard care in the mana...

We have developed a computer-based smart telemedicine system to give automated support to GD patients while insulin is not required. The system combines a platform for remote monitoring of diabetes-related parameters with a decision-support system based on expert knowledge that generates automatic feedback to patients. Blood glucose (BG) data downl...

The acute impact of different types of physical activity on glycemic control in type 1 diabetes has not been well quantified. Our objective was to estimate the rate of change (RoC) in glucose concentration induced acutely during the performance of structured exercise and at recovery in subjects with type 1 diabetes. We searched for original article...

Este trabajo describe la importancia de la pseudonimización de la información clínica para usos secundarios, los aspectos legales que regulan la transferencia de dicha información y las principales técnicas y modelos de anonimización existentes. Se propone el uso de un sistema pseudonimizador conforme a la norma ISO/EN 13606, diseñado y desarrollad...

The availability of electronic health data favors scientific advance through the creation of repositories for secondary use. Data anonymization is a mandatory step to comply with current legislation. A service for the pseudonymization of electronic healthcare record (EHR) extracts aimed at facilitating the exchange of clinical information for secon...

We introduce the need for a distributed guideline-based decision support (DSS) process, describe its characteristics, and explain how we implemented this process within the European Union's MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., 'downloading' small portions of the guideline from th...

The progressive ageing of population has turned the Mild Cognitive Impairment (MCI) into a prevalent disease suffered by elderly. Consequently, the spatial disorientation has become a significant problem for older people and their caregivers. The ambient assisted living applications are offering location-based services (LBS) for empowering elderly...

Los repositorios de recursos digitales como elemento organizador, preservador y destinados a la difusión de producción científica es un tema de actualidad. Cada vez son más las instituciones, universidades y otro tipo de organismos públicos y privados que ponen a disposición de la sociedad su producción digital, tanto a nivel local, nacional o inte...

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...

Ambient Assisted Living (AAL) services are emerging as context-awareness solutions to support elderly people’s autonomy. The context-aware paradigm makes applications more user-adaptive. In this way, context and user models expressed in ontologies are employed by applications to describe user and environment characteristics. The rapid advance of te...

Automatic blood glucose classification may help specialists to provide a better interpretation of blood glucose data, downloaded directly from patients glucose meter and will contribute in the development of decision support systems for gestational diabetes. This paper presents an automatic blood glucose classifier for gestational diabetes that com...

The MobiGuide system provides patients with personalized decision support tools, based on computerized clinical guidelines, in a mobile environment. The generic capabilities of the system will be demonstrated applied to the clinical domain of Gestational Diabetes (GD). This paper presents a methodology to identify personalized recommendations, obta...

Objective: This study assessed the efficacy of a closed-loop (CL) system consisting of a predictive rule-based algorithm (pRBA) on achieving nocturnal and postprandial normoglycemia in patients with type 1 diabetes mellitus (T1DM). The algorithm is personalized for each patient's data using two different strategies to control nocturnal and postpra...

This paper presents a service for the anonymisa-tion of electronic health care record (EHR) extracts for secon-dary use based on the ISO/EN 13606 norm. The sending of clinical data for secondary use, in accordance with current legislation, must be carried out using anonymised data. The ISO/EN 13606 standard has characteristics which favour the deve...

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...

Within the technological framework of Information and Communication Technologies ICT, consumers are currently requesting multimedia services with simplicity of use, reliability, security and service availability through mobile and fixed access. Network operators are proposing the Next Generation Networks NGN to address the challenges of providing b...

Este trabajo presenta un clasificador de medidas de glucemia en función de las ingestas asociadas para pacientes con diabetes gestacional. Se presentan los resultados obtenidos al comparar la relevancia de diferentes atributos así como del uso de dos de los algoritmos más populares en el mundo del aprendizaje automático: las redes neuronales y los...