Papers by Xavier Rafael-Palou
Brain–Computer Interfaces on Track to Home: Results of the Evaluation at Disabled End-Users’ Homes and Lessons Learnt
Frontiers in ICT, 2015
Brain–Computer Interfaces on Track to Home: Results of the Evaluation at Disabled End-Users’ Homes and Lessons Learnt
Frontiers in ICT, 2015
1st International Conference on IoT Technologies for HealthCare, HealthyIoT 2014, At Rome, Italy, 2014
This paper proposed an approach of intelligent healthcare services to support health monitoring o... more This paper proposed an approach of intelligent healthcare services to support health monitoring of old people through the project named SAAPHO. Here, definition and architecture of the proposed healthcare services are presented considering six different health parameters such as: 1) physical activity, 2) blood pressure, 3) glucose, 4) medication compliance, 5) pulse
monitoring and 6) weight monitoring. The outcome of the proposed services is evaluated in a case study where total 201 subjects from Spain and Slovenia are involved for user requirements analysis considering 1) end users, 2) clinicians,
and 3) field study analysis perspectives. The result shows the potentiality and competence of the proposed healthcare services for the users.
AAL forum proceedings, 2014
SAAPHO project aims to stimulate and support seniors to participate in the self-serve society by ... more SAAPHO project aims to stimulate and support seniors to participate in the self-serve society by preserving and enhancing their independence and dignity at home through a
novel system that promotes active ageing. SAAPHO system offers an accessible and usable tactile mobile app, which integrates a set of intelligent services, related to health, participation and safety by means of an open and decoupled middleware. The system also counts with a set of smart home wireless devices for supporting monitoring tasks. Promising results has been achieved on several test pilots in different countries.
ACM SIGACCESS Accessibility and Computing, Sep 2013
… of The 8th International Conference on …, Jan 1, 2009
We describe a collaborative agent-based learning model suitable for environments with limited dat... more We describe a collaborative agent-based learning model suitable for environments with limited data exchange and provide an overview of its empirical evaluation.
Ubiquitous Data Mining, IJCAI Workshops 2012, Aug 27, 2012
In this work, pruning techniques for the AdaBoost classifier are evaluated specially aimed for a ... more In this work, pruning techniques for the AdaBoost classifier are evaluated specially aimed for a continuous learning framework in sensors mining applications. To assess the methods, three pruning schemes are evaluated using standard machine-learning benchmark datasets, simulated drifting datasets and real cases. Early results obtained show that pruning methodologies approach and sometimes out-perform the no-pruned version of the classifier, being at the same time more easily adaptable to the drift in the training distribution. Future works are planned in order to evaluate the approach in terms of time efficiency and extension to big-data analysis.
Enhancing User Experience with Brain-Computer-Interfaces in Smart Home Environments
Intelligent Environments (IE), 2012 8th International Conference on , Jun 26, 2012
In this work, the benefits of Ambient Intelligence for enhancing user experience with Brain Compu... more In this work, the benefits of Ambient Intelligence for enhancing user experience with Brain Computer Interfaces are explored. In a smart-home environment, statistics of devices activations are used to learn user habits and to adapt the interface for providing the most usual option to the user, reducing the time spent navigating through hierarchical menus. The activation statistics are learned by discriminative machine learning algorithms able to provide the most suitable options for the user interface. Promising experimental results on simulated scenarios encourage following on this research direction.
Currently, biological databases (DBs) are a common tool to complement the research of a wide rang... more Currently, biological databases (DBs) are a common tool to complement the research of a wide range of biomedical disciplines, but there are only a few specialized medical DBs for human brain tumour magnetic resonance spectroscopy (MRS) data; they typically store a limited range of biological data (i.e. clinical information, magnetic resonance imaging and MRS data) and are not offered as open-source Structured Query Language relational DB schemas. We present a novel approach to biological DBs: a distributed Web-accessible DB for storing and managing clinical and biomedical data related to brain tumours from different clinical centres. This tool is designed for multi-platform systems with dissimilar DB management systems. Being the main data repository of the HealthAgents (HA) project, it uses multi-agent technology and allows the centres to share data and obtain diagnosis classifications from other centres distributed around the world in a reliable way.
The eTUMOUR (eT) multi-centre project gathered in vivo and ex vivo magnetic resonance (MR) data, ... more The eTUMOUR (eT) multi-centre project gathered in vivo and ex vivo magnetic resonance (MR) data, as well as transcriptomic and clinical information from brain tumour patients, with the purpose of improving the diagnostic and prognostic evaluation of future patients. In order to carry this out, among other work, a database—the eTDB—was developed. In addition to complex permission rules and software and management quality control (QC), it was necessary to develop anonymization, processing and data visualization tools for the data uploaded. It was also necessary to develop sophisticated curation strategies that involved on one hand, dedicated fields for QC-generated meta-data and specialized queries and global permissions for senior curators and on the other, to establish a set of metrics to quantify its contents. The indispensable dataset (ID), completeness and pairedness indices were set. The database contains 1317 cases created as a result of the eT project and 304 from a previous project, INTERPRET. The number of cases fulfilling the ID was 656. Completeness and pairedness were heterogeneous, depending on the data type involved.
Bioinformatics (Oxford, England), 2012
Spatial data visualization is very useful to represent biological data and quickly interpret the ... more Spatial data visualization is very useful to represent biological data and quickly interpret the results. For instance, to show the expression pattern of a gene in different tissues of a fly, an intuitive approach is to draw the fly with the corresponding tissues and color the expression of the gene in each of them. However, the creation of these visual representations may be a burdensome task. Here we present SVGMap, a java application that automatizes the generation of high-quality graphics for singular data items (e.g. genes) and biological conditions. SVGMap contains a browser that allows the user to navigate the different images created and can be used as a web-based results publishing tool. Availability: SVGMap is freely available as precompiled java package as well as source code at http://bg.upf.edu/svgmap. It requires Java 6 and any recent web browser with JavaScript enabled. The software can be run on Linux, Mac OS X and Windows systems. Contact:
Proceeding of the …, Jan 1, 2009
This paper presents the collaborative agent-based learning subsystem of HealthAgents, a multiagen... more This paper presents the collaborative agent-based learning subsystem of HealthAgents, a multiagent distributed decision support system for brain tumour diagnosis. The subsystem aims to boost the performance of the independent and heterogeneous classifiers in spite of the limited data transfer conditions prevailing in the system. The susbsystem is composed by local autonomous agents which are interacting among them, following an existing collaborative learning model. The different aspects and decisions dodged during the adaptation of this model are described in addition to the results of its initial evaluation with the data of HealthAgents. Significant increments of classification performance attained by the learning agents demonstrate the potential benefits of this subsystem.
inf.ed.ac.uk
This project focuses on the classification problem in distributed data mining environments where ... more This project focuses on the classification problem in distributed data mining environments where the transfer of data between learning processes is limited. Existing solutions address this problem through the use of distributed technologies for applying data mining algorithms to learn global models from local learning processes. Multiagent based solutions that follow this approach overlook the autonomy
. This allows to build upon the existing ontology permitting for modularity and flexibility. The ... more . This allows to build upon the existing ontology permitting for modularity and flexibility. The novelty of our approach lies in the ease with which CGs can be placed above other formalisms and their potential for optimised querying and retrieval.
Uploads
Papers by Xavier Rafael-Palou
monitoring and 6) weight monitoring. The outcome of the proposed services is evaluated in a case study where total 201 subjects from Spain and Slovenia are involved for user requirements analysis considering 1) end users, 2) clinicians,
and 3) field study analysis perspectives. The result shows the potentiality and competence of the proposed healthcare services for the users.
novel system that promotes active ageing. SAAPHO system offers an accessible and usable tactile mobile app, which integrates a set of intelligent services, related to health, participation and safety by means of an open and decoupled middleware. The system also counts with a set of smart home wireless devices for supporting monitoring tasks. Promising results has been achieved on several test pilots in different countries.
monitoring and 6) weight monitoring. The outcome of the proposed services is evaluated in a case study where total 201 subjects from Spain and Slovenia are involved for user requirements analysis considering 1) end users, 2) clinicians,
and 3) field study analysis perspectives. The result shows the potentiality and competence of the proposed healthcare services for the users.
novel system that promotes active ageing. SAAPHO system offers an accessible and usable tactile mobile app, which integrates a set of intelligent services, related to health, participation and safety by means of an open and decoupled middleware. The system also counts with a set of smart home wireless devices for supporting monitoring tasks. Promising results has been achieved on several test pilots in different countries.