5 papers
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…
Automatic scoring of apnea and hypopnea events using blood oxygen saturation signals
R. E. Rolon, I. E. Gareis, L. D. Larrateguy +3
The obstructive sleep apnea-hypopnea (OSAH) syndrome is a very common and frequently undiagnosed sleep disorder. It is characterized by repeated events of partial (hypopnea) or tot…
Switching divergences for spectral learning in blind speech dereverberation
Francisco Ibarrola, Leandro Di Persia, Ruben Spies
When recorded in an enclosed room, a sound signal will most certainly get affected by reverberation. This not only undermines audio quality, but also poses a problem for many human…
Mixed penalization in convolutive nonnegative matrix factorization for blind speech dereverberation
Francisco J. Ibarrola, Leandro E. Di Persia, Ruben D. Spies
When a signal is recorded in an enclosed room, it typically gets affected by reverberation. This degradation represents a problem when dealing with audio signals, particularly in t…