14 citations · 23 across the 5 of their papers we have counts for
5 papers
Unifying Adaptive Fourier and Möbius-Based Models for Efficient and Interpretable Biomedical Signal Decomposition
Christian Canedo, Rocío Carratalá-Sáez, Cristina Rueda
Oscillatory biomedical signals such as electrocardiograms (ECG) and electroencephalograms (EEG) call for decompositions that are both computationally efficient and interpretable. T…
Functional Clustering of Neuronal Signals with FMM Mixture Models
Alejandro Rodríguez-Collado, Cristina Rueda
The identification of unlabelled neuronal electric signals is one of the most challenging open problems in neuroscience, widely known as Spike Sorting. Motivated to solve this prob…
A Unique Cardiac Electrophysiological 3D Model
Cristina Rueda, Alejandro Rodríguez-Collado, Itziar Fernández +3
Mathematical models of cardiac electrical activity are one of the most important tools for elucidating information about the heart diagnostic. Even though it is one of the major pr…
Compelling new electrocardiographic markers for automatic diagnosis
Cristina Rueda, Itziar Fernández, Yolanda Larriba +2
The automatic diagnosis of heart diseases from the electrocardiogram (ECG) signal is crucial in clinical decision-making. However, the use of computer-based decision rules in clini…
FMM: An R Package for Modeling Rhythmic Patterns in Oscillatory Systems
I. Fernández, A. Rodríguez-Collado, Y. Larriba +3
This paper is dedicated to the R package FMM which implements a novel approach to describe rhythmic patterns in oscillatory signals. The frequency modulated Möbius (FMM) model is d…