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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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Acoustic Features of the Weeping Lizard's Distress Call

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.
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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.
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Validation of Psychophysiological Measures for Caffeine Oral Films Characterization by Machine Learning Approaches

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.
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EEG wavelet packet power spectrum tool for checking Alzheimer's disease progression

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.