CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

An Internet of Things approach for managing smart services provided by wearable devices.

The Internet of Things (IoT) is growing at a fast pace with new devices getting connected all the time. A new emerging group of these devices are the wearable devices, and Wireless Sensor Networks are a good way to integrate them in the IoT concept and bring new experiences to the daily life activities. In this paper we present an everyday life application involving a WSN as the base of a novel context-awareness sports scenario where physiological parameters are measured and sent to the WSN by wearable devices. Applications with several hardware components introduce the problem of heterogeneity in the network. In order to integrate different hardware platforms and to introduce a service-oriented semantic middleware solution into a single application, we propose the use of an Enterprise Service Bus (ESB) as a bridge for guaranteeing interoperability and integration of the different environments, thus introducing a semantic added value needed in the world of IoT-based systems. This approach places all the data acquired (e.g., via Internet data access) at application developers disposal, opening the system to new user applications. The user can then access the data through a wide variety of devices (smartphones, tablets, computers) and Operating Systems (Android, iOS, Windows, Linux, etc.)

Storage Solutions for Big Data Systems: A Qualitative Study and Comparison

Big data systems development is full of challenges in view of the variety of application areas and domains that this technology promises to serve. Typically, fundamental design decisions involved in big data systems design include choosing appropriate storage and computing infrastructures. In this age of heterogeneous systems that integrate different technologies for optimized solution to a specific real world problem, big data system are not an exception to any such rule. As far as the storage aspect of any big data system is concerned, the primary facet in this regard is a storage infrastructure and NoSQL seems to be the right technology that fulfills its requirements. However, every big data application has variable data characteristics and thus, the corresponding data fits into a different data model. This paper presents feature and use case analysis and comparison of the four main data models namely document oriented, key value, graph and wide column. Moreover, a feature analysis of 80 NoSQL solutions has been provided, elaborating on the criteria and points that a developer must consider while making a possible choice. Typically, big data storage needs to communicate with the execution engine and other processing and visualization technologies to create a comprehensive solution. This brings forth second facet of big data storage, big data file formats, into picture. The second half of the research paper compares the advantages, shortcomings and possible use cases of available big data file formats for Hadoop, which is the foundation for most big data computing technologies. Decentralized storage and blockchain are seen as the next generation of big data storage and its challenges and future prospects have also been discussed

Point of Care Healthcare Quality Control for Patients Using Mobile Devices

The advances made in the domain of mobile telecommunications over the last decade offer great potential for developments in many areas. One such area that can benefit from mobile communications is telemedicine, which is the provision of medical assistance, in one form or another, to patients who are geographically separated from the healthcare provider. When a person is ill, individual attention from medical professionals is of the utmost importance until they have returned to full health. However, people who suffer with long term and chronic illnesses may need life long care and often must manage their condition at home. Many chronically ill patients manage their condition themselves and perform ‘self-testing’ with Point of Care Test (POCT) equipment as part of this condition management. When a specimen sample is analysed at home with a POCT device, a result is available to the patient almost immediately, but the result cannot be proven to be plausible for the patient unless it is validated by the hospital systems. In addition to this the hospital is unaware of the patients condition and progress between hospital visits. This research addresses some of the issues and problems that fact patients who use POCT equipment to ‘self-manage’ their condition at home. Using mobile phone technologies and the Java platform, three alternative methods for providing patients with a service of POCT result validation and storage was designed. The implementation and test of these systems, proves that a mobile phone solution to the issues associated with patient self-testing is possible and can greatly contribute to the quality of patient care

EIRA Project: advancing in the management of personal healthcare

This project arises with the purpose of shedding some light on a subject that is the order of the day in the world of medicine: the unification of the medical history. The motivation of the project comes from getting to know the lack of coordination in the organization of the health system that currently exists. First, the health centers in different regions follow different systems, end even public and private health centers in the same region operate independently, so they can not share data between them. Second, in different centers they use different and incompatible applications to perform tasks that are similar or complementary. This means that, ultimately, patients are those who are harmed, since the problem of medical data accessibility implies a risk for them. Moreover, unifying or making compatible the various existing applications could improve clinical decision making helping tools, optimizing the efficiency, effectiveness and the use of resources. (Chapter 1) The development of this project draws from a comprehensive analysis that allows finding out which is the current situation of our country on this issue, as well as the measures that have been developed to improve it, their advantages and disadvantages and the main problems that our society faces. It also includes the points of view of both patients and health professionals. For this purpose, it has been necessary to do interviews with professionals, to visit hospitals, to attend to forums and to try personally most of the systems currently in use. Also, both regulatory and socioeconomic framework have been studied, including business opportunities in the field. In parallel to this analysis, advances in new technologies and their possible applications in the implementation of our system have been studied, specially tools for the development of online mobile applications and its back-end structure. Learning how to use them has also been necessary. (Chapter 2, 4 and 7) Based on the findings from the first phase of analysis and learning, objectives and functional and nonfunctional requirements to be met by the application are defined, as well as the platform on which it would be implemented, a mobile device with an Android Operating System. Then, the architecture of the system is structured, and it is modularized according to functional requirements. Finally, the graphic design and the implementation of a semi functional demo are performed, and a project development planning is developed step by step. (Chapters 3, 5 and 7) The original idea of the design was intended to assume greater innovation in technology advances, even incorporating artificial intelligence and massive data processing applied to the healthcare field. However, from the analysis it was concluded that, before incorporating such technologies, a solid groundwork should be laid, a system able to collect all the relevant data to work on them later. Thus, the design was finally oriented to a simplified, unified, bilateral, multifunctional accessible and secure system. The application of advanced technologies becomes part of the future lines of the project. (Chapter 8) To conclude, this project was initiated with the aim of getting to know better the healthcare system and its tools, learning about new technologies already used or that could be applied in the field and designing an innovative system with business potential. Despite the difficulties encountered and the changes made in the project with respect to the original idea, the main objectives have been successfully met. (Chapter 9)Este proyecto surge con el propósito de arrojar algo de luz sobre un tema que está al orden del día en el mundo de la medicina: la unificación de la historia clínica. La motivación del proyecto surge de conocer la gran descoordinación en la organización del sistema sanitario que existe actualmente. Primero, los centros sanitarios en comunidades autónomas distintas siguen sistemas diferentes, e incluso los centros públicos y privados de una misma región funcionan de forma independiente, por lo que no comparten datos entre ellos. Segundo, en los diferentes centros se emplean aplicaciones diversas e incompatibles entre sí para la realización de tareas o bien similares o que podrían ser complementarias. Esto hace que, en última instancia, sea el paciente el que sale perjudicado, ya que el problema de accesibilidad a los datos médicos supone un riesgo. Además, unificando o compatibilizando las diversas aplicaciones existentes podrían mejorarse las herramientas de ayuda en la toma de decisiones clínicas optimizando la eficiencia, la efectividad y los recursos del sistema (Capítulo 1). El desarrollo de este proyecto parte de un amplio análisis que permite conocer la situación actual de nuestro país en este tema, así como las diferentes medidas que se han desarrollado para mejorarla, sus ventajas y desventajas y los principales problemas a los que se enfrenta nuestra sociedad. También incluye las opiniones tanto de pacientes como de profesionales sanitarios. Para ello se han realizado entrevistas a profesionales, se han visitado hospitales, se ha asistido a foros y se han probado personalmente muchos de los sistemas que están actualmente en uso. También se han estudiado tanto el marco regulador como el socioeconómico, incluyendo las oportunidades de negocio del sector. En paralelo a dicho análisis se estudian los avances en las nuevas tecnologías que podrían aplicarse en la implementación del sistema, entre las que se incluyen principalmente herramientas para el desarrollo de aplicaciones móviles online y su back-end, además de aprender a utilizarlas (Capítulos 2, 4 y 7). En base a las conclusiones obtenidas de la primera fase de análisis y aprendizaje, se definen los objetivos y requisitos funcionales y no funcionales que deberá cumplir la aplicación, y se elige la plataforma sobre la que será implementada, un dispositivo móvil con sistema operativo Android. Posteriormente, se estructura el la arquitectura del sistema y se modulariza en función de su funcionalidad. Finalmente se trabaja en el diseño gráfico de la misma, se crea una demo semifuncional y se elabora una planificación de su desarrollo paso por paso. (Capítulos 3, 5 y 6). La idea original del diseño pretendía suponer una mayor innovación en el ámbito tecnológico incorporando incluso avances de inteligencia artificial y tratamiento masivo de datos aplicados al campo sanitario. Sin embargo, a partir del análisis realizado se concluyó que, antes de incorporar dichas tecnologías, debía construirse una base sólida, un sistema capaz de recopilar todos los datos para, posteriormente, trabajar sobre ellos. Por eso, el diseño finalmente se orientó a un sistema simplificado, bilateral, unificado, multifuncional, accesible y seguro. La aplicación de tecnologías más avanzadas pasa a contarse entre las líneas futuras del proyecto. (Capítulo 8) En conclusión, este proyecto se inició con el objetivo de conocer mejor el sistema sanitario actual y sus herramientas, aprender acerca de las nuevas tecnologías que se están utilizando o podrían aplicarse en el sector y diseñar un sistema innovador con posibilidades de comercialización. A pesar de las dificultades encontradas y los cambios hechos en el proyecto con respecto a la idea original, los objetivos principales han sido cumplidos. (Capítulo 9)Ingeniería Biomédic

Mining a Small Medical Data Set by Integrating the Decision Tree and t-test

[[abstract]]Although several researchers have used statistical methods to prove that aspiration followed by the injection of 95% ethanol left in situ (retention) is an effective treatment for ovarian endometriomas, very few discuss the different conditions that could generate different recovery rates for the patients. Therefore, this study adopts the statistical method and decision tree techniques together to analyze the postoperative status of ovarian endometriosis patients under different conditions. Since our collected data set is small, containing only 212 records, we use all of these data as the training data. Therefore, instead of using a resultant tree to generate rules directly, we use the value of each node as a cut point to generate all possible rules from the tree first. Then, using t-test, we verify the rules to discover some useful description rules after all possible rules from the tree have been generated. Experimental results show that our approach can find some new interesting knowledge about recurrent ovarian endometriomas under different conditions.[[journaltype]]國外[[incitationindex]]EI[[booktype]]紙本[[countrycodes]]FI