146 citations
- Universidad Carlos III de MadridES9 papers
- Instituto de Investigación Sanitaria Gregorio MarañónES4 papers
- Universidad Complutense de MadridES3 papers
- Instituto de Salud Carlos IIIES2 papers
- Universidad de SevillaES2 papers
- Universitat Autònoma de BarcelonaES2 papers
- Aarhus UniversityDK1 paper
- Adif (Spain)ES1 paper
- Calar Alto ObservatoryES1 paper
- Catholic University of the MauleCL1 paper
- Centre Hospitalier Universitaire de MontpellierFR1 paper
- Centro de AstrobiologíaES1 paper
16 papers
Volumetric Non-Invasive Cardiac Mapping for Accessible Global Arrhythmia Characterization
Jorge Vicente-Puig, Judit Chamorro-Servent, Ernesto Zacur +10
Cardiac arrhythmias are a major cause of morbidity and mortality increasing the risk of stroke, heart failure, and sudden cardiac death. Imageless electrocardiographic imaging (ECG…
Alzheimer's disease detection in PSG signals
Lorena Gallego-Viñarás, Juan Miguel Mira-Tomás, Anna Michela-Gaeta +4
Alzheimer's disease (AD) and sleep disorders exhibit a close association, where disruptions in sleep patterns often precede the onset of Mild Cognitive Impairment (MCI) and early-s…
NeuroVoz: a Castillian Spanish corpus of parkinsonian speech
Janaína Mendes-Laureano, Jorge A. Gómez-García, Alejandro Guerrero-López +4
The screening of Parkinson's Disease (PD) through speech is hindered by a notable lack of publicly available datasets in different languages. This fact limits the reproducibility a…
Detecting train driveshaft damages using accelerometer signals and Differential Convolutional Neural Networks
Antía López Galdo, Alejandro Guerrero-López, Pablo M. Olmos +1
Railway axle maintenance is critical to avoid catastrophic failures. Nowadays, condition monitoring techniques are becoming more prominent in the industry to prevent enormous costs…
Graph-signal Reconstruction and Blind Deconvolution for Structured Inputs
David Ramírez, Antonio G. Marques, Santiago Segarra
Key to successfully deal with complex contemporary datasets is the development of tractable models that account for the irregular structure of the information at hand. This paper p…
Visualizing Outliers in High Dimensional Functional Data for Task fMRI data exploration
Yasser Aleman-Gomez, Ana Arribas-Gil, Manuel Desco +2
Task-based functional magnetic resonance imaging (task fMRI) is a non-invasive technique that allows identifying brain regions whose activity changes when individuals are asked to…