Adriana Arza Valdés
Orcid: 0000-0002-4190-7878Affiliations:
- Swiss Federal Institute of Technology in Lausanne, Switzerland
According to our database1,
Adriana Arza Valdés
authored at least 24 papers
between 2013 and 2022.
Collaborative distances:
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Bibliography
2022
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones.
IEEE J. Biomed. Health Informatics, 2022
IEEE Trans. Biomed. Eng., 2022
CAFS: Cost-Aware Features Selection Method for Multimodal Stress Monitoring on Wearable Devices.
IEEE Trans. Biomed. Eng., 2022
2021
Synthetic realistic noise-corrupted PPG database and noise generator for the evaluation of PPG denoising and delineation algorithms.
Dataset, June, 2021
EEG Correlates of Difficulty Levels in Dynamical Transitions of Simulated Flying and Mapping Tasks.
IEEE Trans. Hum. Mach. Syst., 2021
Real-Time Personalized Atrial Fibrillation Prediction on Multi-Core Wearable Sensors.
IEEE Trans. Emerg. Top. Comput., 2021
MBioTracker: Multimodal Self-Aware Bio-Monitoring Wearable System for Online Workload Detection.
IEEE Trans. Biomed. Circuits Syst., 2021
SPARE: A Spectral Peak Recovery Algorithm for PPG Signals Pulsewave Reconstruction in Multimodal Wearable Devices.
Sensors, 2021
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals.
CoRR, 2021
ReBeatICG: Real-time Low-Complexity Beat-to-beat Impedance Cardiogram Delineation Algorithm.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
ReLearn: A Robust Machine Learning Framework in Presence of Missing Data for Multimodal Stress Detection from Physiological Signals<sup>*</sup>.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021
Wearable and Continuous Prediction of Passage of Time Perception for Monitoring Mental Health.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021
2020
Self-Aware Machine Learning for Multimodal Workload Monitoring during Manual Labor on Edge Wearable Sensors.
IEEE Des. Test, 2020
Proceedings of the Virtual, Augmented and Mixed Reality. Design and Interaction, 2020
2019
Measuring acute stress response through physiological signals: towards a quantitative assessment of stress.
Medical Biol. Eng. Comput., 2019
REWARD: Design, Optimization, and Evaluation of a Real-Time Relative-Energy Wearable R-Peak Detection Algorithm.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Real-Time Cognitive Workload Monitoring Based on Machine Learning Using Physiological Signals in Rescue Missions.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
2016
Inclusion of Respiratory Frequency Information in Heart Rate Variability Analysis for Stress Assessment.
IEEE J. Biomed. Health Informatics, 2016
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016
2015
Towards an objective measurement of emotional stress: Preliminary analysis based on heart rate variability.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015
Proceedings of the Computing in Cardiology, 2015
2013
Pulse Transit Time and Pulse Width as Potential Measure for Estimating Beat-to-Beat Systolic and Diastolic Blood Pressure.
Proceedings of the Computing in Cardiology, 2013