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Hugo F Posada-Quintero

Showing results (21-30 of 71) with videos related to

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Applied Sciences (Basel, Switzerland)|April 6, 2026
Continuous Emotion Recognition Using EDA-Graphs: A Graph Signal Processing Approach for Affective Dimension EstimationLuis R Mercado-Diaz, Youngsun Kong, Josef Kundrát, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Objective Assessment of Acute Stress Disorder in Female Subjects Using Wearable Measures of Electrodermal Activity<sup></sup>Andrew G Peitzsch, Youngsun Kong, Hugo F Posada-Quintero, et al.
Neuroscience|March 13, 2026
Recent trends in electrodermal activity signal processing and deep learning methods for emotion recognitionYedukondala Rao Veeranki, N Koteswara Rao, Hugo F Posada-Quintero, et al.
Behavioral Sciences (Basel, Switzerland)|September 27, 2023
Mutual Information between EDA and EEG in Multiple Cognitive Tasks and Sleep Deprivation ConditionsDavid Alejandro Martínez Vásquez, Hugo F Posada-Quintero, Diego Mauricio Rivera Pinzón
Sensors (Basel, Switzerland)|May 20, 2022
Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices' Quality and Robustness against Motion ArtifactMd-Billal Hossain, Youngsun Kong, Hugo F Posada-Quintero, et al.
Human Factors|June 16, 2018
Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal ActivityHugo F Posada-Quintero, Jeffrey B Bolkhovsky, Michael Qin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Performance evaluation of carbon black based electrodes for underwater ECG monitoringBersain A Reyes, Hugo F Posada-Quintero, Justin R Bales, et al.
IEEE Journal of Biomedical and Health Informatics|July 3, 2023
Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal ActivityJavier O Pinzon-Arenas, Youngsun Kong, Ki H Chon, et al.
American Journal of Physiology. Regulatory, Integrative and Comparative Physiology|July 22, 2016
Highly sensitive index of sympathetic activity based on time-frequency spectral analysis of electrodermal activityHugo F Posada-Quintero, John P Florian, Álvaro D Orjuela-Cañón, et al.
Attention, Perception & Psychophysics|November 18, 2020
Facial features and head movements obtained with a webcam correlate with performance deterioration during prolonged wakefulnessYoungsun Kong, Hugo F Posada-Quintero, Matthew S Daley, et al.
Pageof 8

Showing results (21-30 of 71) with videos related to

Sort By:
Pageof 8
Applied Sciences (Basel, Switzerland)|April 6, 2026
Continuous Emotion Recognition Using EDA-Graphs: A Graph Signal Processing Approach for Affective Dimension EstimationLuis R Mercado-Diaz, Youngsun Kong, Josef Kundrát, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Objective Assessment of Acute Stress Disorder in Female Subjects Using Wearable Measures of Electrodermal Activity<sup></sup>Andrew G Peitzsch, Youngsun Kong, Hugo F Posada-Quintero, et al.
Neuroscience|March 13, 2026
Recent trends in electrodermal activity signal processing and deep learning methods for emotion recognitionYedukondala Rao Veeranki, N Koteswara Rao, Hugo F Posada-Quintero, et al.
Behavioral Sciences (Basel, Switzerland)|September 27, 2023
Mutual Information between EDA and EEG in Multiple Cognitive Tasks and Sleep Deprivation ConditionsDavid Alejandro Martínez Vásquez, Hugo F Posada-Quintero, Diego Mauricio Rivera Pinzón
Sensors (Basel, Switzerland)|May 20, 2022
Comparison of Electrodermal Activity from Multiple Body Locations Based on Standard EDA Indices' Quality and Robustness against Motion ArtifactMd-Billal Hossain, Youngsun Kong, Hugo F Posada-Quintero, et al.
Human Factors|June 16, 2018
Human Performance Deterioration Due to Prolonged Wakefulness Can Be Accurately Detected Using Time-Varying Spectral Analysis of Electrodermal ActivityHugo F Posada-Quintero, Jeffrey B Bolkhovsky, Michael Qin, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Performance evaluation of carbon black based electrodes for underwater ECG monitoringBersain A Reyes, Hugo F Posada-Quintero, Justin R Bales, et al.
IEEE Journal of Biomedical and Health Informatics|July 3, 2023
Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal ActivityJavier O Pinzon-Arenas, Youngsun Kong, Ki H Chon, et al.
American Journal of Physiology. Regulatory, Integrative and Comparative Physiology|July 22, 2016
Highly sensitive index of sympathetic activity based on time-frequency spectral analysis of electrodermal activityHugo F Posada-Quintero, John P Florian, Álvaro D Orjuela-Cañón, et al.
Attention, Perception & Psychophysics|November 18, 2020
Facial features and head movements obtained with a webcam correlate with performance deterioration during prolonged wakefulnessYoungsun Kong, Hugo F Posada-Quintero, Matthew S Daley, et al.
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