G
Gabriela Silva
Researcher at University of Chile
Publications - 5
Citations - 33
Gabriela Silva is an academic researcher from University of Chile. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 1, co-authored 1 publications receiving 25 citations.
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Journal ArticleDOI
Acoustic Features of the Weeping Lizard's Distress Call
Antonieta Labra,Antonieta Labra,Gabriela Silva,Fernanda Norambuena,Nelson A. Velásquez,Mario Penna +5 more
TL;DR: The spectro-temporal characteristics of the distress calls emitted by the Unidentata lizard, Liolaemus chiliensis, the only species of this highly diverse genus (>220 species) that vocalizes are analyzed and their potential role for startling predators and/or alerting conspecifics to predation risk is discussed.
Journal ArticleDOI
COVID-19 activity screening by a smart-data-driven multi-band voice analysis
TL;DR: In this article , three different signal analyses have been applied (per broadband, per sub-bands and per broadband & subbands) to Cough, Breathing and Speech signals of Coswara dataset to extract nonlinear patterns (Energy, Entropies, Correlation Dimension, Detrended Fluctuation Analysis, Lyapunov Exponent & Fractal Dimensions) for feeding a XGBoost classifier to discriminate COVID-19 activity on its different stages.
Journal ArticleDOI
Validation of Psychophysiological Measures for Caffeine Oral Films Characterization by Machine Learning Approaches
Patrícia Batista,Pedro M. Rodrigues,Miguel Ferreira,A. Moreno,Gabriela Silva,Marco Alves,Manuela Pintado,Patrícia Oliveira-Silva +7 more
TL;DR: Compared with placebo, caffeine oral films led to a significant increase in power energy in the signal spectrum of heart rate, skin conductance, and respiratory activity, and the ECG time-series power energy activity revealed a better capacity to detect caffeine activity over time than the other physiological modalities.
Journal ArticleDOI
Early detection of Alzheimer’s and Parkinson’s diseases using multiband nonlinear EEG analysis.
Gabriela Silva,Marco Alves,Rui Cunha,Bruno C. Bispo,Patrícia Oliveira-Silva,Pedro M. Rodrigues +5 more
Journal ArticleDOI
EEG wavelet packet power spectrum tool for checking Alzheimer's disease progression
Rui Cunha,Gabriela Silva,Marco Alves,Bruno C. Bispo,Dílio Alves,Carolina Garrett,Pedro M. Rodrigues +6 more
TL;DR: In this article , features such as the conventional frequencies relative power of the power spectrum wavelet packet transform have been extracted from the electroencephalogram signals in order to feed four classifiers: random forest decision trees, linear and quadratic support vector-machines and linear discriminant analysis.