| Inclusion of respiratory frequency information in heart rate variability analysis for stress assessment A Hernando, J Lázaro, E Gil, A Arza, JM Garzón, R López-Antón, ... IEEE journal of biomedical and health informatics 20 (4), 1016-1025, 2016 | 216 | 2016 |
| Measuring acute stress response through physiological signals: towards a quantitative assessment of stress A Arza, JM Garzón-Rey, J Lázaro, E Gil, R Lopez-Anton, C de la Camara, ... Medical & biological engineering & computing 57, 271-287, 2019 | 160 | 2019 |
| Multi-Modal Acute Stress Recognition Using Off-the-Shelf Wearable Devices V Montesinos, F Dell’Agnola, A Arza, A Aminifar, D Atienza 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 66 | 2019 |
| Project ES3: attempting to quantify and measure the level of stress J Aguiló, P Ferrer-Salvans, A García-Rozo, A Armario, Á Corbí, ... Revista de neurologia 61 (9), 405, 2015 | 56 | 2015 |
| Pulse transit time and pulse width as potential measure for estimating beat-to-beat systolic and diastolic blood pressure A Arza, J Lázaro, E Gil, P Laguna, J Aguiló, R Bailon Computing in Cardiology 2013, 887-890, 2013 | 48 | 2013 |
| Real-time EEG-based cognitive workload monitoring on wearable devices R Zanetti, A Arza, A Aminifar, D Atienza IEEE transactions on biomedical engineering 69 (1), 265-277, 2021 | 40 | 2021 |
| Towards an objective measurement of emotional stress: Preliminary analysis based on heart rate variability A Arza, JM Garzón, A Hemando, J Aguiló, R Bailón 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 35 | 2015 |
| Cognitive workload monitoring in virtual reality based rescue missions with drones F Dell’Agnola, N Momeni, A Arza, D Atienza International conference on human-computer interaction, 397-409, 2020 | 30 | 2020 |
| Real-time cognitive workload monitoring based on machine learning using physiological signals in rescue missions N Momeni, F Dell’Agnola, A Arza, D Atienza 2019 41st Annual International Conference of the IEEE Engineering in …, 2019 | 28 | 2019 |
| Evaluation of chronic stress indicators in geriatric and oncologic caregivers: a cross-sectional study S Aguiló, E García, A Arza, JM Garzón-Rey, J Aguiló Stress 21 (1), 36-42, 2018 | 26* | 2018 |
| MBioTracker: Multimodal self-aware bio-monitoring wearable system for online workload detection F Dell’Agnola, U Pale, R Marino, A Arza, D Atienza IEEE Transactions on Biomedical Circuits and Systems 15 (5), 994-1007, 2021 | 23 | 2021 |
| EEG correlates of difficulty levels in dynamical transitions of simulated flying and mapping tasks PK Jao, R Chavarriaga, F Dell’Agnola, A Arza, D Atienza, JR Millán IEEE Transactions on Human-Machine Systems 51 (2), 99-108, 2020 | 22 | 2020 |
| Machine-learning based monitoring of cognitive workload in rescue missions with drones F Dell’Agnola, PK Jao, A Arza, R Chavarriaga, JR Millán, D Floreano, ... IEEE Journal of Biomedical and Health Informatics 26 (9), 4751-4762, 2022 | 21 | 2022 |
| CAFS: cost-aware features selection method for multimodal stress monitoring on wearable devices N Momeni, AA Valdés, J Rodrigues, C Sandi, D Atienza IEEE Transactions on Biomedical Engineering 69 (3), 1072-1084, 2021 | 20 | 2021 |
| REWARD: Design, optimization, and evaluation of a real-time relative-energy wearable R-peak detection algorithm L Orlandic, E De Giovanni, A Arza, S Yazdani, JM Vesin, D Atienza 2019 41st annual international conference of the IEEE engineering in …, 2019 | 19 | 2019 |
| Psychosomatic response to acute emotional stress in healthy students E Garcia Pages, A Arza, J Lazaro, C Puig, T Castro, M Ottaviano, ... Frontiers in physiology 13, 960118, 2023 | 18 | 2023 |
| Real-time personalized atrial fibrillation prediction on multi-core wearable sensors E De Giovanni, AA Valdes, M Peon-Quiros, A Aminifar, D Atienza IEEE Transactions on Emerging Topics in Computing 9 (4), 1654-1666, 2020 | 16 | 2020 |
| Mental stress detection using cardiorespiratory wavelet cross-bispectrum S Kontaxis, J Lázaro, A Hernando, A Arza, JM Garzón, E Gil, P Laguna, ... 2016 Computing in Cardiology Conference (CinC), 725-728, 2016 | 16 | 2016 |
| Proyecto ES3: Intentando la cuantificación y medida del nivel de estrés J Aguiló, P Ferrer-Salvans, A Garcia-Rozo, A Armario, Á Corbí, ... Revista de Neurologia 61 (9), 405-415, 2015 | 16 | 2015 |
| Self-Aware Machine Learning for Multimodal Workload Monitoring During Manual Labor on Edge Wearable Sensors G Masinelli, F Forooghifar, A Arza, A Aminifar, D Atienza IEEE Design & Test, 2020 | 15 | 2020 |
Jordi AguilóProfesor del Depto. de Microelectrónica y Sistemas Electrónicosایمیل تأیید شده در imb-cnm.csic.es
