
Antonio Martinez-Millana- PhD Biomedical Engineering
- Assistant Professor at Polytechnic University of Valencia
Antonio Martinez-Millana
- PhD Biomedical Engineering
- Assistant Professor at Polytechnic University of Valencia
Telemedicine, Wearables, Data Mining, Process Mining, Digital Electronics
About
99
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Introduction
Telecommunications Engineer in 2009, Master on Biomedical Engineering specialized in eHealth Systems in 2013 and PhD on Technologies for Health and Wellbeing in 2017.
I am working as research assistant for European e-Health projects in ITACA and lecturing in the Department of Electronic Engineering of Universitat Politècnica de València.
My research interests are on diabetes, mathematical modeling, biomedical engineering and process mining.
Current institution
Additional affiliations
June 2013 - present
January 2009 - May 2013
Education
September 2011 - September 2013
September 2004 - December 2009
Publications
Publications (99)
In this paper we propose a new approach for increasing physical activity (PA) in individuals with intellectual disabilities (IDs), using augmented reality exergames to increase adherence and motivation. The game encourages PA by showing virtual elements through a mobile phone camera. The elements only appeared if the player moved in the real world....
In this viewpoint, we explore the use of big data analytics and artificial intelligence (AI) and discuss important challenges to their ethical, effective, and equitable use within opioid use disorder (OUD) treatment settings. Applying our collective experiences as OUD policy and treatment experts, we discuss 8 key challenges that OUD treatment serv...
Recent advancements in wearable devices have significantly enhanced remote patient monitoring, enabling healthcare professionals to evaluate conditions within home settings. While electronic health records (EHRs) offer extensive clinical data, they often lack crucial contextual information about patients’ daily lives and symptoms. By integrating co...
Electronic health record (EHR) systems are powerful tools that enhance healthcare quality. They improve efficiency, enable data exchange, and ensure authorized access to patient information. In 2022, the World Health Organization Regional Office for Europe (WHO EURO) conducted a survey to assess the digital health capabilities of the 53 Member Stat...
Effective management of diabetes necessitates efficient data handling, insightful analytics, and personalized interventions. In this study, we present a comprehensive system that automates the extraction, transformation, and loading of continuous glucose monitoring data. Data is integrated into an interactive dashboard with dual access levels: one...
This paper explores the significance of physical activity for individuals with intellectual disabilities and proposes an innovative approach using augmented reality exergames to promote adherence. An augmented reality-based app for sorting elements while walking was specifically designed and implemented. Exergames hold promise as effective interven...
UNSTRUCTURED
In this viewpoint paper we explore the use of big data analytics and artificial intelligence (AI) in improving outcomes for people with opioid use disorder (OUD) and bring to the table relevant challenges that must be addressed if new technologies are to be utilised ethically, effectively and equitably. First, we explore the conceptual...
Patients with type 2 diabetes mellitus are at high risk of developing several types of complications. Previous studies show a clear association of tight glycemic control, both in terms of glycated hemoglobin and the time in range, with different metabolic pathways that contribute to nervous, micro, and macro-vascular complications. As a matter of f...
Critical care physicians are commonly faced with patients exhibiting atrial fibrillation (AF), a cardiac arrhythmia with multifaceted origins. Recent investigations shed light on the heterogeneity among AF patients by uncovering unique AF phenotypes, characterized by differing treatment strategies and clinical outcomes. In this retrospective study...
La transformación digital es una realidad. Afecta a los procesos de las organizaciones y también desarrolla servicios para los usuarios. Esta innovación debe seguir las directrices de la Organización Mundial de la Salud (OMS) para todas las personas, en todas las partes del mundo. Tener en cuenta los determinantes sociales de salud (DSS) y consider...
Objective: To analyze the opinions of nursing professionals on the current limitations and future potential of digital tools in healthcare. Design: Qualitative and descriptive study. Location: The study took place during an asynchronous MOODLE course on the use of ICT in healthcare, specifically aimed at nursing professionals. Participants: The num...
Universities are facing many challenges as they are expected to prepare their students in the best possible way to contribute to sustainable societal- and industrial development. Students will become researchers, innovators, entrepreneurs, and role models, and should be able to contribute in the transition to a greener and smarter future. The task...
Artificial intelligence (AI) can be a valuable tool for primary care (PC), as, among other things, it can help healthcare professionals improve diagnostic accuracy, chronic disease management and the overall efficiency of the care they provide. It is important to emphasise that AI should not be seen as a replacement tool, but as an aid to PC profes...
La pandemia ha llevado a muchas instituciones de educación superior a implementar infraestructuras para la enseñanza en línea y la grabación de clases. A pesar de la controversia sobre la idoneidad de grabar las clases, la investigación reciente ha demostrado que los estudiantes están dispuestos a recibir formación mediante clases grabadas, ya que...
Heterogeneity in patient populations presents a significant challenge for healthcare professionals, as different sub-populations may require individualized therapeutic approaches. To address this issue, clustering algorithms are often employed that identify patient groups with homogeneous characteristics. Clustering algorithms are mainly unsupervis...
Participatory design (PD) is increasingly used to support design and development of digital health solutions. The involves representatives of future user groups and experts to collect their needs and preferences and ensure easy to use and useful solutions. However, reflections and experiences with PD in designing digital health solutions are rarely...
Background:
Artificial intelligence (AI) is giving rise to a revolution in medicine and health care. Mental health conditions are highly prevalent in many countries, and the COVID-19 pandemic has increased the risk of further erosion of the mental well-being in the population. Therefore, it is relevant to assess the current status of the applicati...
Background
Patients with chronic disease represent an at-risk group in the face of the COVID-19 crisis as they need to regularly monitor their lifestyle and emotional management. Coping with the illness becomes a challenge due to supply problems and lack of access to health care facilities. It is expected these limitations, along with lockdown and...
Nowadays pulmonary diseases are an increasingly important cause of morbidity and mortality. Diaphragmatic breathing is a controlled-breathing technique that aims to optimize thoracoabdominal movements. The aim of this study was to apply a respiratory and musculoskeletal physiotherapy program in institutionalized older adults and to assess the effec...
Background
Artificial intelligence is fueling a new revolution in medicine and in the healthcare sector. Despite the growing evidence on the benefits of artificial intelligence there are several aspects that limit the measure of its impact in people’s health. It is necessary to assess the current status on the application of AI towards the improvem...
People with intellectual disabilities have more sedentary lifestyles than the general population. Regular physical activity is of both medical and social importance, reducing the risk of cardiovascular disease and promoting functioning in everyday life. Exergames have been envisioned for promoting physical activity; however, most of them are not us...
The Internet of Things paradigm in healthcare has boosted the design of new solutions for the promotion of healthy lifestyles and the remote care. Thanks to the effort of academia and industry, there is a wide variety of platforms, systems and commercial products enabling the real-time information exchange of environmental data and people’s health...
Process mining techniques can be used to analyse business processes using the data logged during their execution. These techniques are leveraged in a wide range of domains, including healthcare, where it focuses mainly on the analysis of diagnostic, treatment, and organisational processes. Despite the huge amount of data generated in hospitals by s...
This chapter is focused on the different aspects that need to be taken into consideration for the design, development, and commercialization of apps and mobile technologies to be used in p-health. Therefore a complete comprehensive overview of mobile health is provided, addressing regulatory, interoperability, and market issues. The chapter propose...
Introduction
Simultaneous pancreas-kidney (SPK) transplant is a proven option of treatment for patients with type 1 diabetes mellitus and related end-stage renal disease, who are candidates for kidney transplantation. The results from the beginning of SPK transplant program in Comunidad Valenciana are presented.
Methods
Descriptive, retrospective,...
The MyCyFAPP Project, funded by the European Commission, aimed to reach a scenario that let patients with cystic fibrosis (CF), along with their parents and caregivers, reach self-management of enzyme replacement by means of a mobile application and an ecosystem around it. The process started with the selection of the optimal “business models” thro...
Introduction:
Simultaneous pancreas-kidney (SPK) transplant is a proven option of treatment for patients with type 1 diabetes mellitus and related end-stage renal disease, who are candidates for kidney transplantation. The results from the beginning of SPK transplant program in Comunidad Valenciana are presented.
Methods:
Descriptive, retrospect...
Developed and under-developed countries are facing several challenges related to public health and sustainability of health care systems. New challenges demand of the collaborative action of multiple stakeholders with different backgrounds. In the late years, telecommunication engineers are involved in a wide range of companies and institutions to...
One of the largest problems with electric vehicles is that they often go unnoticed by pedestrians due to the absence of noticeable noise generated by electric motors, which is a potential cause of accidents and collisions. Surprisingly, this positive property in terms of reducing the noise pollution is in fact becoming a road safety problem. In add...
This chapter is a descriptive use case of the Interactive Process Mining paradigm in one of the most significant problems of healthcare in relation to the management of chronic conditions, Type 2 Diabetes Mellitus. The chapter firstly performs a comprehensive description of the disease, its origins, evolution and standard of care, to thereafter ada...
In the age of Evidence-Based Medicine, Clinical Guidelines (CGs) are recognized to be an indispensable tool to support physicians in their daily clinical practice. Medical Informatics is expected to play a relevant role in facilitating diffusion and adoption of CGs. However, the past Int. pioneering approaches, often fragmented in many disciplines,...
Background:
Simultaneous pancreas-kidney (SPK) transplantation is a proven option of treatment for patients with type 1 diabetes mellitus (T1DM) and related end-stage renal disease. There is discrepancy between the results of different studies about the impact of prolonged normalization of glucose metabolism achieved by SPK on the course of diabet...
World Health Organisation defines overweight and obesity as abnormal or excessive fat accumulation that represents a risk to health. Obesity and overweight are associated with increased risk of comorbidities and social problems that negatively impact quality of life. Due to the complexity of the problems, it is necessary to classify obesity based o...
There are currently different types of commercial optical disdrometers to measure the rainfall intensity, of which many are commonly used for monitoring road conditions. Having information about the amount of rain, the composition of the precipitation particles and visibility are essential to avoid accidents, which requires intelligent systems that...
Compared with the general population, people with intellectual disabilities have worse health, lower levels of activity, and greater barriers to participating in fitness activities. Regular physical activity has positive effects on cardiovascular and psychosocial health and thus it is important to identify effective interventions for people with in...
Introduction:
With the expansion of available Information and Communication Technology (ICT) services, a plethora of data sources provide structured and unstructured data used to detect certain health conditions or indicators of disease. Data is spread across various settings, stored and managed in different systems. Due to the lack of technology...
Background
Pancreas transplantation can be a viable treatment option for patients with type 1 diabetes mellitus (T1DM), especially for those who are candidates for kidney transplantation. T1DM may rarely recur after pancreas transplantation, causing the loss of pancreatic graft. The aim of this study was to describe the prevalence of T1DM recurrenc...
Heterogeneity of people with diabetes makes maintaining blood glucose control and achieving therapy adherence a challenge. It is fundamental that patients get actively involved in the management of the disease in their living environments. The objective of this paper is to evaluate the use and acceptance of a self-management system for diabetes dev...
At present, many detectors installed on both urban and interurban roads are capable of extracting information from vehicles such as speed, length or direction of traffic. However, very few sensors are currently able to communicate and exchange information with vehicles in real time. For this reason and due to the existing need for vehicle-infrastru...
Persons in a situation of dependency, or independent but with deficiencies in their autonomy, have specific needs for a better management of their long-term care. New sensing technologies based on real-time location systems, mobile apps, the Internet-of-Things (IoT) paradigm and cloud systems can be used to collect and process information about the...
The European Higher Education Area (EHEA) defines the competences for professional practice of a Telecommunications Engineer. The School of Telecommunication Engineering of the Universitat Politècnica de València (Valencia, Spain) provides an integrated education program consisting of a Graduate (GITST) + Master (MUIT). The GITST course offers four...
Magnetic loops are one of the most popular and used traffic sensors because of their widely extended technology and simple mode of operation. Nevertheless, very simple models have been traditionally used to simulate the effect of the passage of vehicles on these loops. In general, vehicles have been considered simple rectangular metal plates locate...
Hospitals are becoming increasingly aware of the need to improve their processes and data-driven approaches, such as process mining, are gaining attention. When applying process mining techniques in reality, it is widely recognized that real-life data tends to suffer from data quality problems. Consequently, thorough data quality assessment and dat...
Background:
To understand user needs, system requirements and organizational conditions towards successful design and adoption of Clinical Decision Support Systems for Type 2 Diabetes (T2D) care built on top of computerized risk models.
Methods:
The holistic and evidence-based CEHRES Roadmap, used to create eHealth solutions through participator...
Patients with type 2 diabetes have a higher chance of developing cardiovascular diseases and an increased odds of mortality. Reliability of randomized clinical trials is continuously judged due to selection, attrition and reporting bias. Moreover, cardiovascular risk is frequently assessed in cross-sectional studies instead of observing the evoluti...
Diabetes is a chronic disease characterized by abnormal blood glucose levels which has short and long term complications. Management of diabetes relies on a regular control of blood glucose levels, commonly measured with invasive sensors, which are painful and cause patient discomfort. Scientific community is trying to develop non-invasive monitori...
Understanding human behavior can assist in the adoption of satisfactory health interventions and improved care. One of the main problems relies on the definition of human behaviors, as human activities depend on multiple variables and are of dynamic nature. Although smart homes have advanced in the latest years and contributed to unobtrusive human...
Sensor technologies and their integration with advanced software applications are fostering a new era of safety and healthiness. Factories of the future can benefit from the integration of ambient and wearable sensors in the workplace, as the worker him/herself can provide a reliable real-time profile of the conditions and adaptation to the work en...
An adequate nutritional status is a major determinant of health in the elderly population. Malnutrition or risk of malnutrition are situations linked to an increase of complications, which often affects people over 60 years old. The Mini Nutritional Assessment questionnaire allows to obtain in a fast, easy and non-invasive way information related t...
Malnutrition is one of the major geriatric syndromes and frailty factor, this joint with the fact of elderly population growing, will situate malnutrition as a front end problem in the upcoming years. Therefore, it is important that health professionals can assess and follow up nutritional status in a proper way, using all available data related to...
Obesity is a growing problem that has reached a pandemic dimension. Diagnosis of obesity is based on the body mass index, regardless other important indicators related to metabolic impairments. One of the main problems is the difficult identification of obese subjects or in risk of developing obesity. New health information systems supporting massi...
The application of Value-based Healthcare requires not only the identification of key processes in the clinical domain but also an adequate analysis of the value chain delivered to the patient. Data Science and Big Data approaches are technologies that enable the creation of accurate systems that model reality. However, classical Data Mining techni...
Background: Remote care services and patient empowerment have boosted mobile health (mHealth). A study of user needs related to mHealth for pediatric cystic fibrosis (PCF) identified the set of preferred features mobile apps should support; however, the potential use of PCF apps and their suitability to fit into PCF clinical management remains unex...
The wide-spread adoption of real-time location system is boosting the development of software applications to track persons and assets on real-time and perform analytics. Among the vast amount of data analysis techniques, process mining allows to conform work-flows with heterogeneous multivariate data, enhancing the model understandability and usef...
Medical emergencies are one of the most critical processes that occurs in a hospital. The creation of adequate and timely triage protocols, can make the difference between the life and death of the patient. One of the most critical emergency care protocols is the stroke case. This disease demands an accurate and quick diagnosis for ensuring an imme...
Electronic health records and computational modelling have paved the way for the development of Type 2 Diabetes risk scores to identify subjects at high risk. Unfortunately, few risk scores have been externally validated, and their performance can be compromised when routine clinical data is used. The aim of this study was to assess the performance...
The widespread adoption of real-time location systems is boosting the development of software applications to track persons and assets in hospitals. Among the vast amount of applications, real-time location systems in operating rooms have the advantage of grounding advanced data analysis techniques to improve surgical processes, such as process min...
Background
Remote care services and patient empowerment have boosted mobile health (mHealth). A study of user needs related to mHealth for pediatric cystic fibrosis (PCF) identified the set of preferred features mobile apps should support; however, the potential use of PCF apps and their suitability to fit into PCF clinical management remains unexp...
The aim of this paper is to present examples of big data techniques that can be applied on Holistic Health Records (HHR) in the context of the CrowdHEALTH project. Real-time big data analytics can be performed on the stored data (i.e. HHRs) enabling correlations and extraction of situational factors between laboratory exams, physical activities, bi...
Clinical Guidelines, medical protocols, and other healthcare indications, cover a significant slice of physicians daily routine, as they are used to support clinical choices also with relevant legal implications. On the one hand, informatics have proved to be a valuable mean for providing formalisms, methods, and approaches to extend clinical guide...
Background
Expressing anthropometric parameters (height, weight, BMI) as z-score is a key principle in the clinical assessment of children and adolescents. The Centre for Disease Control and Prevention (CDC) growth charts and the CDC-LMS method for z-score calculation are widely used to assess growth and nutritional status, though they can be impre...
Supporting information.
Supporting information containing individually cited Tables and Figures.
(DOCX)
Background: Research in type 1 diabetes management has increased exponentially since the irruption of mobile health apps
for its remote and self-management. Despite this fact, the features affect in the disease management and patient empowerment
are adopted by app makers and provided to the general population remain unexplored.
Objective: To study...
Managerial Skills to Engineers is an optative subject placed on last degree course. Students have passed on second course “Organization Foundations” as only subject about management contents. So, it was proposed with the aim of developing main managerial skills thinking of their professional future, highlighting among them communication skills clea...
Some years ago our group had the challenge of collaborating on a design master teaching an optative subject of Technology Management Foundations. The challenge was to develop it in an attractive way capable of interesting really students and generating a motivated behaviour in class. Now, seven years later, it is possible to have a complete landsca...
BACKGROUND
Research in type 1 diabetes management has increased exponentially since the irruption of mobile health apps for its remote and self-management. Despite this fact, the features affect in the disease management and patient empowerment are adopted by app makers and provided to the general population remain unexplored.
OBJECTIVE
To study t...
Detection of abnormal cardiac events during clinical examination is a matter of chances, as such events may not happen at that precise moment. We therefore propose the implementation and evaluation of a mobile based system that allows a real-time detection of cardiovascular problems related to heart-rate variability. Our approach is to integrate an...
El trabajo en equipo es una de las metodologías docentes más comunes para conseguir los objetivos de aprendizaje en grupos numerosos. La evaluación orientada al resultado final grupal no siempre se ajusta a los conocimientos realmente adquiridos por cada miembro del equipo. Los distintos instrumentos (diarios, portafolios) que se utilizan para valo...
The following communication describes the interactive development and implementation of a web-based clinical decision support system to help doctors on the assessment of pancreas and kidney transplant in patients with type 1 Diabetes Mellitus. An exploratory data analysis has been performed using a group of 82 patients, which have been transplanted...
Stress and emotions can cause several physiological and behavioral changes, some of which may also have a severe impact on the cardiovascular function. For this reason, an accurate assessment of stress level and emotion kind and strength should be considered important to reduce the associated car-diovascular risks. However, the use of biological pa...
Health and sociological indicators alert that life expectancy is increasing, hence so are the years that patients have to live with chronic diseases and co-morbidities. With the advancement in ICT, new tools and paradigms are been explored to provide effective and efficient health care. Telemedicine and health sensors stand as indispensable tools f...
Objective:
To describe the development, as part of the European Union MOSAIC (Models and Simulation Techniques for Discovering Diabetes Influence Factors) project, of a dashboard-based system for the management of type 2 diabetes and assess its impact on clinical practice.
Methods:
The MOSAIC dashboard system is based on predictive modeling, lon...
The goal of LiNK is to discover and define research tracks in the area of intelligent processing to support cardiovascular disease management in Per-sonalized Healthcare (PHC). The strategy was based on a twofold approach. First, using a status assessment of the current research on PHC and an international research forum. From this roadmap, specifi...
Life expectancy is increasing and, so, the years that patients have to live with chronic diseases and co-morbidities. Type 2 diabetes is one of the most prevalent chronic diseases, specifically linked to being overweight and ages over sixty. Recent studies have demonstrated the effectiveness of new strategies to delay and even prevent the onset of...
In a context in which almost any student can have access to a university career, it is frequent to observe how the motivation and commitment of students has no comparison with previous years. New teaching methods must face this reality without falling into the banality of assuming the lack of motivation by default. In this communication, we present...
Cualquier actividad y acción que realizamos puede ser cuantificable, y por lo tanto, genera datos. Y esos datos se convierten en informa-ción sobre distintos aspectos, como por ejemplo, los gustos y preferencias de las personas, sus relaciones familiares y amistosas, sus preocu-paciones y también su salud. Con la alta penetración de las tecnologías...
Today's rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transforme...
BACKGROUND:
Social media is changing the way in which citizens and health professionals communicate. Previous studies have assessed the use of Health 2.0 by hospitals, showing clear evidence of growth in recent years. In order to understand if this happens in Spain, it is necessary to assess the performance of health care institutions on the Intern...
La apertura al conocimiento que supuso la imprenta, trajo consigo la crisis de valores de la Edad Media y la aparición de una nueva sociedad y el modelo renacentista de concebir las relaciones entre el hombre y su entorno.
Internet está provocando un fenómeno similar. Estamos inmersos en la crisis y en los cambios generados por el actual acceso ins...
Health consumers are increasingly using the Internet to search for health information. The existence of overloaded, inaccurate, obsolete, or simply incorrect health information available on the Internet is a serious obstacle for finding relevant and good-quality data that actually helps patients. Search engines of multimedia Internet platforms are...
Today's rich digital information environment is characterized by the multitude of data sources providing information that has not yet reached its full potential in eHealth. The aim of the presented approach, namely CrowdHEALTH, is to introduce a new paradigm of Holistic Health Records (HHRs) that include all health determinants. HHRs are transforme...
Google Glass is a wearable sensor presented to facilitate access to information and assist while performing complex tasks. Despite the withdrawal of Google in supporting the product, today there are multiple applications and much research analyzing the potential impact of this technology in different fields of medicine. Google Glass satisfies the n...
Resumen Las Google Glass se han presentado como una herramienta novedosa que facilitará el acceso a información y la realización de tareas complejas. Pese desistimiento de Google en dar soporte al producto, en la actualidad existen múltiples aplicaciones e investigaciones en curso que tratan de analizar el potencial impacto que el uso de esta tecno...
Resumen Los avances en la tecnología electrónica y en tecnologías de la información y comunicaciones constituyen la palanca de cambio en los nuevos métodos de provisión de servicios de salud. En el campo de la telemedicina, la miniaturización de dispositivos de cómputo y la comercialización de kits para monitorizar variables fisiológicas está promo...
Digital Health Literacy (DHL) is a key element to promote patient empowerment. This position paper presents the lessons learnt from the daily activities of a General Practitioner interacting with patients. General Practitioners have a main role in each stage on individual digital health literacy process. They are the first meeting point between pat...
This paper shows the results of a study on how do biomedical engineers perceive the innovative attributes of the new era eHealth solutions. Four different eHealth solutions each of them belonging to a specific domain (Process Mining , Health Information in the Internet, Inclusive Systems and mHealth Systems) were introduced to 35 second year studen...
The application of statistics and mathematics over large amounts of data is providing healthcare systems with new tools for screening and managing multiple diseases. Nonetheless, these tools have many technical and clinical limitations as they are based on datasets with concrete characteristics. This proposition paper describes a novel architecture...
Diabetes is one of the metabolic disorders with more growth expectations in next decades. The literature points to a correct self-management, to an appropriate treatment and to an adequate healthy lifestyle as a way to dramatically improve the quality of life of patients with diabetes. The implementation of a holistic diabetes care system, using ri...
Telemedicine systems can play an important role in the management of diabetes, a chronic condition that is increasing worldwide. Evaluations on the consistency of information across these systems and on their performance in a real situation are still missing. This paper presents a remote monitoring system for diabetes management based on physiologi...
Type 2 Diabetes Mellitus (T2DM) is the most common form of diabetes. Early identification of people at risk of developing T2DM is extremely important, but the effectiveness of existing model is not clear as it is not clear the relative importance of the needs that such systems should satisfy.
This paper presents the preliminary results of a study a...
In this work, we present a framework implemented within the EU project MOSAIC, funded under the FP7 framework, to gather Type 2 Diabetes (T2D) patients' data coming from three European hospitals and a local health care agency. A subset of the MOSAIC activities is centered on the development of Temporal Data Mining models to identify relevant clinic...
Preterm infants pose a significant challenge for the neonatologist: They have an immature antioxidant defense system, but they often need resuscitation at birth, including forced ventilation and supplemental oxygen supply. The neonatologist should keep a careful balance to accelerate the establishment of a physiological breathing pattern while mini...
Chronic cardiovascular diseases directly account for millions of deaths, billions of Euros and a big number of disabilities affecting the world's population. Even though primary and secondary prevention factors are well known, the awareness and the concern of citizens and patients is not big enough to cause a significant change in lifestyle that mo...
Diabetes management has no patterns in the actual health industry. Many models have been presented for monitoring its behavior focusing only in blood glucose values and basing patient evolution on diary records. The presented system describes the architecture for fully monitoring diabetes patients through a platform of subsystems built in different...
Current monitoring systems for chronic disease management and assisted living are advancing with giant strides, providing more complete and personalized solutions. So far, standardization and physiological tracing strategies have mostly overcome difficulties dealing with integration and interoperability. However, with the deployment of massive sens...