42 citations · 106 across the 7 of their papers we have counts for
7 papers
Fully Adaptive Time-Varying Wave-Shape Model: Applications in Biomedical Signal Processing
Joaquin Ruiz, Gastón Schlotthauer, Leandro Vignolo +1
In this work, we propose a time-varying wave-shape extraction algorithm based on a modified version of the adaptive non-harmonic model for non-stationary signals. The model codifie…
Temporal convolutional networks and transformers for classifying the sleep stage in awake or asleep using pulse oximetry signals
Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer
Sleep disorders are very widespread in the world population and suffer from a generalized underdiagnosis, given the complexity of their diagnostic methods. Therefore, there is an i…
Classifying sleep-wake stages through recurrent neural networks using pulse oximetry signals
Ramiro Casal, Leandro E. Di Persia, Gastón Schlotthauer
The regulation of the autonomic nervous system changes with the sleep stages causing variations in the physiological variables. We exploit these changes with the aim of classifying…
Transfer Entropy Rate Through Lempel-Ziv Complexity
Juan F. Restrepo, Diego M. Mateos, Gastón Schlotthauer
In this article we present a methodology to estimate the Transfer Entropy Rate between two systems through the Lempel-Ziv complexity. This methodology carries a set of practical ad…
Automatic estimation of attractor invariants
Juan F. Restrepo, Gastón Schlotthauer
The invariants of an attractor have been the most used resource to characterize a nonlinear dynamics. Their estimation is a challenging endeavor in short-time series and/or in pres…
Screening of Obstructive Sleep Apnea with Empirical Mode Decomposition of Pulse Oximetry
Gastón Schlotthauer, Leandro E. Di Persia, Luis D. Larrateguy +1
Detection of desaturations on the pulse oximetry signal is of great importance for the diagnosis of sleep apneas. Using the counting of desaturations, an index can be built to help…
Maximum approximate entropy and r threshold: A new approach for regularity changes detection
Juan F. Restrepo, Gastón Schlotthauer, María E. Torres
Approximate entropy (ApEn) has been widely used as an estimator of regularity in many scientific fields. It has proved to be a useful tool because of its ability to distinguish dif…