Application of Entropy-Based Metrics to Identify Emotional Distress from Electroencephalographic Recordings von García-Martínez, Beatriz, Martínez-Rodrigo, Arturo, Zangróniz Cantabrana, Roberto, Pastor García, Jose, Alcaraz, Raúl

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Electrodermal Activity Sensor for Classification of Calm/Distress Condition von Zangróniz, Roberto, Martínez-Rodrigo, Arturo, Pastor, José Manuel, López, María T, Fernández-Caballero, Antonio

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A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring von Vraka, Aikaterini, Zangróniz, Roberto, Quesada, Aurelio, Hornero, Fernando, Alcaraz, Raúl, Rieta, José J

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Smart environment architecture for emotion detection and regulation von Fernández-Caballero, Antonio, Martínez-Rodrigo, Arturo, Pastor, José Manuel, Castillo, José Carlos, Lozano-Monasor, Elena, López, María T., Zangróniz, Roberto, Latorre, José Miguel, Fernández-Sotos, Alicia

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The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography von Cano, Jesús, Fácila, Lorenzo, Gracia-Baena, Juan M, Zangróniz, Roberto, Alcaraz, Raúl, Rieta, José J

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Estimation of Mental Distress from Photoplethysmography von Zangróniz, Roberto, Martínez-Rodrigo, Arturo, López, María, Pastor, José, Fernández-Caballero, Antonio

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Symbolic Analysis of Brain Dynamics Detects Negative Stress von García-Martínez, Beatriz, Martínez-Rodrigo, Arturo, Zangróniz, Roberto, Pastor, José, Alcaraz, Raúl

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Film mood induction and emotion classification using physiological signals for health and wellness promotion in older adults living alone von Martínez‐Rodrigo, Arturo, Fernández‐Aguilar, Luz, Zangróniz, Roberto, Latorre, José M., Pastor, José M., Fernández‐Caballero, Antonio

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Arousal level classification of the aging adult from electro-dermal activity: From hardware development to software architecture von Martínez-Rodrigo, Arturo, Zangróniz, Roberto, Pastor, José Manuel, Sokolova, Marina V.

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Heart Rate Variability Machine Learning Models to Facilitate Elevated Blood Pressure Detection von Vraka, Aikaterini, Bertomeu-González, Vicente, Moreno-Arribas, José, Zangróniz, Roberto, Alcaraz, Raúl, Rieta, José J.

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Arousal Level Classification in the Ageing Adult by Measuring Electrodermal Skin Conductivity von Martínez-Rodrigo, Arturo, Zangróniz, Roberto, Pastor, José Manuel, Fernández-Caballero, Antonio

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Recent Advances and Challenges in Nonlinear Characterization of Brain Dynamics for Automatic Recognition of Emotional States von Alcaraz, Raúl, García-Martínez, Beatriz, Zangróniz, Roberto, Martínez-Rodrigo, Arturo

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Blending Inverted Lectures and Laboratory Experiments to Improve Learning in an Introductory Course in Digital Systems von Alcaraz, Raul, Martinez-Rodrigo, Arturo, Zangroniz, Roberto, Rieta, Jose Joaquin

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Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems von Alcaraz, Raul, Martinez-Rodrigo, Arturo, Zangroniz, Roberto, Rieta, Jose Joaquin

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A Novel Signal Restoration Method of Noisy Photoplethysmograms for Uninterrupted Health Monitoring von Vraka, Aikaterini, Zangróniz, Roberto, Quesada, Aurelio, Hornero, Fernando, Alcaraz, Raúl, Rieta, J J

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Early Prediction of Students at Risk of Failing a Face-to-Face Course in Power Electronic Systems von Alcaraz, Raúl, Martínez-Rodrigo, Arturo, Zangróniz, Roberto, Rieta, J J

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Wavelet Denoising as Preprocessing Stage to Improve ICA Performance in Atrial Fibrillation Analysis von Sánchez, César, Rieta, José Joaquín, Vayá, Carlos, Perez, David Moratal, Zangróniz, Roberto, Millet, José

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The Relevance of Calibration in Machine Learning-Based Hypertension Risk Assessment Combining Photoplethysmography and Electrocardiography von Cano, Jesús, Fácila, Lorenzo, Gracia-Baena, Juan M, Zangróniz, Roberto, Alcaraz, Raúl, Rieta, J J

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Is Short-Term Heart Rate Variability Good Enough to Predict Vascular Events in Hypertensive Patients? von Tornero, Roberto, Fácila, Lorenzo, Bertomeu-González, Vicente, Zangróniz, Roberto, Alcaraz, Raúl, Rieta, J J

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Novel Photoplethysmographic and Electrocardiographic Features for Enhanced Detection of Hypertensive Individuals von Cano, Jesús, Quesada, Aurelio, Ravelli, Flavia, Zangróniz, Roberto, Alcaraz, Raúl, Rieta, J J

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