María Teresa Lozano Albalate
Faculty Member
Biography
Mayte Lozano (María Teresa Lozano Albalate) was born in Castellón in 1976. She received her Ph.D. degree in Advanced Computer Methods from the Universitat Jaume I (Castellón, Spain), with European Doctorate Mention, for the dissertation Data Reduction Techniques in Classification Processes. Her research is focused principally on artificial intelligence, concretely on classification for automatic learning processes. She has worked also in computer vision, perception planning and signal processing. Nowadays is focused on security and defence. More specifically, she is working on development of algorithms in order to avoid dangers in risky tasks, where she is focused on signal processing, classification techniques and data management.
Publications
2023
Artículos de revista
Enhancing Safety in Hyperbaric Environments through Analysis of Autonomic Nervous System Responses: A Comparison of Dry and Humid Conditions Artículo de revista
En: Sensors, 2023.
2021
Conferencias
Comparisonof classical indices of Pulse/Heart Rate Variability from sensor Polar OH1 and ECG Conferencia
43st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021.
2020
Artículos de revista
Photoplethysmographic Waveform and Pulse Rate Variability Analysis in Hyperbaric Environments Artículo de revista
En: IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 5, pp. 1550-1560, 2020.
Conferencias
Safety Ranges for Heart Rate Variability Parameters in Hyperbaric Environments Conferencia
Proceedings of the XLVII International Conference on Computing in Cardiology, Rimini, Italy, 2020.
Autonomic Nervous System Response During Scuba Diving Activity Conferencia
Proceedings of the XLVII International Conference on Computing in Cardiology, Rimini, Italy, 2020.
2019
Artículos de revista
Photoplethysmographic Waveform Versus Heart Rate Variability to Identify Low Stress States. Attention Test Artículo de revista
En: IEEE Journal of Biomedical and Health Informatics, 2019.
Finger and forehead PPG signal comparison for respiratory rate estimation Artículo de revista
En: Physiological Measurement, 2019.
Autonomic nervous system measurement in hyperbaric environments using ECG and PPG signals Artículo de revista
En: IEEE Journal of Biomedical and Health Informatics, vol. 23, no. 1, pp. 132-142, 2019.
