Research articles published in scientific journals.
The use of smart mobile devices and apps for assessing and treating patients with chronic pain is becoming more widespread. The significant benefits of these technological alternatives contribute to t...
Miró, Jordi, De la Vega, Rocío, Roset Mayals, Roman, Castarlenas, Elena, Sánchez-Rodríguez, Elisabet
I took the lead in spearheading the eLearning strategy implementation to adapt a previously in-person cognitive-behavioral treatment to a remote format. Additionally, I directed the technical development of the Painometer v2® mobile application for Android, utilizing Java, Android SDK, and Firebase.
Fibroline is a mobile application with a self-administered cognitive behavioral treatment for young people with fibromyalgia or chronic widespread pain, designed to reduce pain and other common negati...
De la Vega, Rocío, Roset Mayals, Roman, Galán, Santiago, Miró, Jordi
I focused on crafting eLearning strategies to transition a cognitive-behavioral treatment from in-person to remote delivery. I also headed the development of the Painometer v2® application for Android, utilizing Java, Android SDK, and Firebase.
The objective of this work was to study the agreement between four pain intensity scales when administered electronically: the Numerical Rating Scale-11, the Faces Pain Scale-Revised, the Visual Analo...
Sánchez-Rodríguez, Elisabet, Castarlenas, Elena, De la Vega, Rocío, Roset Mayals, Roman, Miró, Jordi
My contribution involved digitizing scales for chronic pain, transforming them from paper-based to mobile format. Technologies such as HTML5 and JavaScript were employed. Ultimately, this digital version was integrated into a native app to ensure its efficiency and adaptability.
Painometer is a mobile application that includes four pain intensity scales: the Numerical Rating Scale, the Faces Pain Scale-Revised, the mechanical visual analogue scale and the Colored Analogue Sca...
Sánchez-Rodríguez, Elisabet, De la Vega, Rocío, Castarlenas, Elena, Roset Mayals, Roman, Miró, Jordi
I digitized chronic pain scales, shifting from paper to mobile format using HTML5 and JavaScript. Subsequently, the solution was integrated into a native app to ensure functionality and adaptability.
Electronic and information technologies are increasingly being used to assess pain. This study aims to 1) introduce Painometer, a smartphone app that helps users to assess pain intensity, and 2) repor...
De la Vega, Rocío, Roset Mayals, Roman, Castarlenas, Elena, Sánchez-Rodríguez, Elisabet, Solé, Ester, Miró, Jordi
In this article, I actively participated in testing the application, implementing various versions, and providing user support. Moreover, I led the development of Painometer v2® for Android, leveraging Java, Android SDK, and Firebase for data management.
Objectives: Electronic pain measures are becoming common tools in the assessment of pediatric pain intensity. The aims of this study were (1) to examine the agreement between the verbal and the electr...
Castarlenas, Elena, Sánchez-Rodríguez, Elisabet, De la Vega, Rocío, Roset Mayals, Roman, Miró, Jordi
I contributed to the application development and technical design of the research on pain assessment in adolescents.
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 ma...
Estanyol, Francesc, Rafael-Palou, Xavier, Roset Mayals, Roman, Lurgi, Miguel, Mier, Mariola, Lluch-Ariet, Magí
Within the project, I implemented an ontology for categorizing brain tumors and an API to connect distributed agents with this ontology. I used Java, with support from technologies like RDF, SPARQL, and GraphQL. I also integrated libraries to enhance communication between the agents.
In this paper we present our experience of representing the knowledge behind HealthAgents (HA), a distributed decision support system for brain tumour diagnosis. Our initial motivation came from the d...
Hu, Bo, Croitoru, Madalina, Roset Mayals, Roman, Dupplaw, David, Lurgi, Miguel, Dasmahapatra, Srinandan, Lewis, Paul, Martínez-Miranda, Juan, Sáez, Carlos
In this article, my primary responsibility was implementing an ontology designed by collaborators. This implementation was carried out using Java, SPARQL, and RDF. The main objective of this task was to facilitate the use of the ontology by distributed agents, ensuring effective and efficient integration in distributed computational environments.
This paper focuses on the problem of representing, in a meaningful way, the knowledge involved in the HealthAgents project. Our work is motivated by the complexity of representing electronic healthcar...
Croitoru, Madalina, Hu, Bo, Dasmahapatra, Srinandan, Lewis, Paul, Dupplaw, David, Gibb, Alex, Julia-Sape, Margarida, Vicente, Javier, Sáez, Carlos, García-Gómez, Juan, Roset Mayals, Roman, Estanyol, Francesc, Rafael-Palou, Xavier, Mier, Mariola
In the article, I provided a development tool for the project that visualizes the ontology and supports queries with SPARQL and GraphQL. A key feature is presenting responses as visual graphs. I employed technologies like Java, SPARQL, GraphQL, RDF, and OWL to create it.
We have developed a program to determine the number, length and position of exact consecutive repeats of short sequences in DNA fragments or whole genomes. The program also gives the statistical signi...
Roset Mayals, Roman, Subirana, Juan, Messeguer, Xavier
In my final degree project in Computer Engineering, I presented this article where I developed an optimized algorithm to detect recurring patterns in genomic sequences, surpassing other solutions in efficiency. For its implementation, I used C, and for the user interface, I opted for Perl and HTML.
In this paper we present several web-based tools to identify conserved patterns in sequences. In particular we present details on the functionality of PROMO version 2.0, a program for the prediction o...
Farre, Domenec, Roset Mayals, Roman, Huerta, Mario, Adsuara, Jose, Roselló, Llorenç, Alba, Maisa, Messeguer, Xavier
I contributed to the development of tools for identifying patterns in biological sequences, primarily using Python and Perl.
