Adriana Arza Valdés

Orcid: 0000-0002-4190-7878

Affiliations:
  • 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:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Machine-Learning Based Monitoring of Cognitive Workload in Rescue Missions With Drones.
IEEE J. Biomed. Health Informatics, 2022

Real-Time EEG-Based Cognitive Workload Monitoring on Wearable Devices.
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

Cognitive Workload Monitoring in Virtual Reality Based Rescue Missions with Drones.
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

Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices.
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

Mental Stress Detection Using Cardiorespiratory Wavelet Cross-Bispectrum.
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

Changes in Respiration During Emotional Stress.
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


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