Now showing items 1-20 of 56

  • A machine learning methodology for the selection and classification of spontaneous spinal cord dorsum potentials allows disclosure of structured (non-random) changes in neuronal connectivity induced by nociceptive stimulation 

    Martín Muñoz, Mario; Contreras-Hernández, Enrique; Béjar Alonso, Javier; Espósito, Gennaro; Chávez, Diógenes; Glusman, Silvio; Cortés García, Claudio Ulises; Rudomín, Pablo (2015-08-26)
    Article
    Open Access
  • Análisis de la coordinación del movimiento de las extremidades delanteras y traseras en ratas deambulando en una cinta rodante 

    Snider Fiñana, Daniel (Universitat Politècnica de Catalunya, 2018-07)
    Bachelor thesis
    Open Access
    From the paw?s footprints obtained from rats walking on a treadmill, I have designed algorithms to study the degree of coordination between the front and back legs. We have used the digi-gait system to capture the footprints ...
  • Analysis and enhancement of an individual based model strategy to study tuberculosis at a city level 

    Puig Camps, Bernat (Universitat Politècnica de Catalunya, 2017-06)
    Bachelor thesis
    Open Access
    Tuberculosis is still a worldwide health problem. In this work, several databases have been analyzed in order to obtain more information on the social factors related to the transmission of tuberculosis. In addition, a ...
  • Analysis of the dynamics of gray matter reduction in Alzheimers disease 

    Aduriz Berasategi, Asier (Universitat Politècnica de Catalunya, 2016-05-13)
    Bachelor thesis
    Open Access
    This project attempts to study the cerebral atrophy patterns in gray matter across the different stages of the Alzheimer’s Disease (AD), or more specifically, along the entire AD continuum, in a voxelwise approach. To this ...
  • Android Implementation of a Visualisation, Sonification and AI-Assisted Interpretation of Neonatal EEG 

    Salgado Burruezo, Eduard (Universitat Politècnica de Catalunya, 2018-05)
    Bachelor thesis
    Open Access
    The aim of this project is the implementation of an Android App to help healthcare professionals to check newborn health status by observing neonatal EEG signals, without having extensive training in EEG interpretation. ...
  • Assessing open source communities' health using Service Oriented Computing concepts 

    Oriol Hilari, Marc; Franco Bedoya, Óscar Hernán; Franch Gutiérrez, Javier; Marco Gómez, Jordi (Institute of Electrical and Electronics Engineers (IEEE), 2014)
    Conference report
    Restricted access - publisher's policy
    The quality of Open Source Software products is directly related to its community's health. To date, health analysis is made accessing available data repositories or using software management tools that are often too static ...
  • Assessment of electrocardiograms with pretraining and shallow networks 

    Ribas Ripoll, Vicent; Wojdel, Anna; Ramos, Pablo; Romero Merino, Enrique; Brugada Terradellas, Josep (Computing in Cardiology, 2014)
    Conference report
    Open Access
    Objective: Clinical Decision Support Systems normally resort to annotated signals for the automatic assessment of ECG signals. In this paper we put forward a new method for the assessment of normal/abnormal heart function ...
  • Asthma monitoring 

    Bonson Lopez, Aventi (Universitat Politècnica de Catalunya, 2011-07-19)
    Master thesis (pre-Bologna period)
    Open Access
    Covenantee:  Akademia Górniczo-Hutnicza im. S. Staszica w Krakowie
    English: This thesis is aimed on the development of eHealth application able to treat asthma and COPD patients remotely. The patients will avoid periodical visits to the hospital. The application is developed under Windows ...
  • Automatic classification of gait patterns using a smart rollator and the BOSS model 

    Ojeda, Maribel; Cortés Martínez, Atia; Béjar Alonso, Javier; Cortés García, Claudio Ulises (Association for Computing Machinery (ACM), 2018)
    Conference lecture
    Open Access
    Nowadays, the risk of falling in older adults is a major concern due to the severe consequences it brings to socio-economic and public health systems. Some pathologies cause mobility problems in the aged population, leading ...
  • Automatic ventricle segmentation using CNNs in cardiac MRI 

    Garcia Cabrera, Carles (Universitat Politècnica de Catalunya, 2019-01-24)
    Bachelor thesis
    Open Access
    Covenantee:  University of Auckland
    Cardiac magnetic resonance imaging has been proven to be a great aid tool in clinical diagnosis. Computational models arising from these images have been developed for many years by engineers, radiologists and clinicians. ...
  • A web-based platform for people with memory problems and their caregivers (CAREGIVERSPRO-MMD): Mixed-methods evaluation of usability 

    Zafeiridi, Paraskevi; Paulson, Kevin; Dunn, Rosie; Cortés García, Claudio Ulises; Barrué Subirana, Cristian; Cortés Martínez, Atia (JMIR, 2018-01)
    Article
    Open Access
    Background: The increasing number of people with dementia (PwD) drives research exploring Web-based support interventions to provide effective care for larger populations. In this concept, a Web-based platform (CAREGIVERSPRO-MMD, ...
  • Composition of New Features into a Wireless Nurse Call System 

    Morey Pasqual, Antoni (Universitat Politècnica de Catalunya, 2011-02-11)
    Master thesis (pre-Bologna period)
    Open Access
    Covenantee:  Norges teknisk-naturvitenskapelige universitet
    Català: Les necessitats sanitàries evolucionen de manera constant; algunes d?aquestes necessitats ja estan cobertes per la tecnologia actual entre que altres encara no. Aquesta tesi ofereix una anàlisi crítica de la recerca ...
  • Counting-by-Detection with Three-dimensional Fully Convolutional Networks 

    Mas Pujol, Sergi (Universitat Politècnica de Catalunya, 2018-01-25)
    Bachelor thesis
    Open Access
    Covenantee:  École polytechnique fédérale de Lausanne
    The project goal is to count and detect instances in an image using deep learning. We target the regime where object detectors need to work reliably in scenarios with crowding, overlapping or instances with a small size. ...
  • Data-aware picking for medical models 

    Monclús Lahoya, Eva; Vázquez Alcocer, Pere Pau; Navazo Álvaro, Isabel (Springer, 2014-09-30)
    Part of book or chapter of book
    Open Access
    Medical doctors are often faced with the problem of selecting anchoring points in 3D space. These points are commonly used for measurement tasks, such as lengths of bones, or dimensions of pathological structures (e.g. ...
  • Data mining of patients on weaning trials from mechanical ventilation using cluster analysis and neural networks 

    Arizmendi Pereira, Carlos Julio; Romero Merino, Enrique; Alquézar Mancho, René; Caminal Magrans, Pere; Díaz, Ivan; Benito, Salvador; Giraldo Giraldo, Beatriz (2009)
    Conference report
    Open Access
    The process of weaning from mechanical ventilation is one of the challenges in intensive care. 149 patients under extubation process (T-tube test) were studied: 88 patients with successful trials (group S), 38 patients ...
  • Development of a numerical method to study the diffusion of SERS NPs in resected tissue for binding potential assessment and evaluation 

    Navarro Comes, Eric (Universitat Politècnica de Catalunya, 2016-07-19)
    Bachelor thesis
    Open Access
    Covenantee:  Illinois Institute of Technology
    An intraoperative approach for breast tumor-margin assessment is presented, using a kinetic model for surface-enhanced Raman scattering nanoparticles (SERS NPs). A numerical method is developed to understand the behavior ...
  • Development of coaxial probes for permitivity measurament of biological samples 

    Cano Campreciós, Marina (Universitat Politècnica de Catalunya, 2019-02)
    Bachelor thesis
    Restricted access - author's decision
  • Discriminating glioblastomas from metastases in a SV1H-MRS brain tumour database 

    Romero Merino, Enrique; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles (2009)
    Conference report
    Open Access
    A Feature Selection (FS) process with a simple Machine Learning method, namely the Single-Layer Perceptron (SLP), is shown to discriminate metastases from glioblastomas with high accuracy using single voxel H-MRS from an ...
  • E-Health business models prototyping by incremental design 

    Monguet Fierro, José María; Huerta, Eduardo; Fernández Sánchez, Joaquín; Ferruzca, Marco (igi-global, 2013-01-07)
    Part of book or chapter of book
    Open Access
    User-Driven Healthcare: Concepts, Methodologies, Tools, and Applications provides a global discussion on the practice of user-driven learning in healthcare and connected disciplines and its influence on learning through ...
  • Examination of the applicability of Support Vector Machines in the context of ischaemia detection 

    Guillaumes Sanchez, Gemma (Universitat Politècnica de Catalunya, 2011-03-24)
    Master thesis (pre-Bologna period)
    Open Access
    Covenantee:  Technische Universität Dresden
    Català: El present treball constitueix una proposta per la detecció d'episodis isquemics ST-T basada en la classificació de batecs càrdiacs. Per classificar els batecs de la European ST-T Database (EDB) s'ha aplicat Support ...