| A fast machine learning model for ECG-based heartbeat classification and arrhythmia detection M Alfaras, MC Soriano, S Ortín Frontiers in Physics 7, 103, 2019 | 229 | 2019 |
| From biodata to somadata M Alfaras, V Tsaknaki, P Sanches, C Windlin, M Umair, C Sas, K Höök Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 67 | 2020 |
| Unpacking Non-Dualistic Design: The Soma Design Case K Höök, S Benford, P Tennent, V Tsaknaki, M Alfaras, JM Avila, C Li, ... ACM Transactions on Computer-Human Interaction (TOCHI) 28 (6), 1-36, 2021 | 46 | 2021 |
| ThermoPixels: Toolkit for Personalizing Arousal-based Interfaces through Hybrid Crafting M Umair, C Sas, M Alfaras Proceedings of the 2020 ACM Designing Interactive Systems Conference (DIS …, 2020 | 38 | 2020 |
| Soma Design and Sensory Misalignment P Tennent, J Marshall, V Tsaknaki, C Windlin, K Höök, M Alfaras Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems …, 2020 | 36 | 2020 |
| Articulating Soma Experiences using Trajectories P Tennent, K Höök, S Benford, V Tsaknaki, A Ståhl, C Dauden Roquet, ... Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 33 | 2021 |
| Automated real-time method for ventricular heartbeat classification S Ortín, MC Soriano, M Alfaras, CR Mirasso Computer Methods and Programs in Biomedicine 169, 1-8, 2019 | 30 | 2019 |
| Fatigue Evaluation through Machine Learning and a Global Fatigue Descriptor G Ramos, JR Vaz, GV Mendonça, P Pezarat-Correia, J Rodrigues, ... Journal of healthcare engineering 2020, 2020 | 29 | 2020 |
| Biosensing and Actuation—Platforms Coupling Body Input-Output Modalities for Affective Technologies M Alfaras, W Primett, M Umair, C Windlin, P Karpashevich, ... Sensors 20 (21), 5968, 2020 | 24 | 2020 |
| Exploring Awareness of Breathing through Deep Touch Pressure A Jung, M Alfaras, P Karpashevich, W Primett, K Höök Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems …, 2021 | 22 | 2021 |
| Real-Time Approach to HRV Analysis. G Ramos, M Alfaras, H Gamboa BIOSIGNALS, 208-215, 2018 | 13 | 2018 |
| Experiencing discomfort: designing for affect from first-person perspective M Umair, M Alfaras, H Gamboa, C Sas Adjunct Proceedings of the 2019 ACM International Joint Conference on …, 2019 | 10 | 2019 |
| Ring-topology echo state networks for ICU sepsis classification M Alfaras, R Varandas, H Gamboa 2019 Computing in Cardiology (CinC), Page 1-Page 4, 2019 | 4 | 2019 |
| Automatic Atrial Fibrillation Arrhythmia Detection Using Univariate and Multivariate Data Z Haddi, B Ananou, M Alfaras, M Ouladsine, JC Deharo, N Avellana, ... Algorithms 15 (7), 231, 2022 | 2 | 2022 |
| Continuous eHealth monitoring ecosystem for bronchial asthma and air quality: eHME, Continuous eHealth Monitoring Ecosystem S Escalona López, M Alfaras Espinàs, R Hernando Salvador, ... Proceedings of the 16th International Conference on PErvasive Technologies …, 2023 | | 2023 |
| Making biosignals available M Alfaras Universitat Jaume I / PLUX S.A., 2021 | | 2021 |
| Photonic Reservoir Computing: The role of the Mach-Zehnder modulator M Alfaras IFISC UIB-CSIC, 2015 | | 2015 |
Kristina HöökRoyal Institute of Technology, CSC-school, MIDVerified email at kth.se
