Tomas Teijeiro
EPFL STI IEL ESL
ELG 136 (Bâtiment ELG)
Station 11
CH-1015 Lausanne
Web site: Web site: https://esl.epfl.ch
Biography
I received my PhD from the Centro Singular de Investigación en Tecnoloxías Intelixentes (CITIUS), University of Santiago de Compostela, Spain, in 2017. During my doctoral studies I developed a novel knowledge-based framework for time series interpretation based on abductive reasoning that has been successfully applied to automatic ECG interpretation and classification. Now I am currently working as a research associate at the Embedded Systems Laboratory (ESL), with Prof. David Atienza. My research interests include knowledge representation, non-monotonic temporal reasoning, event-based sensing, and their application to biosignal abstraction and interpretation in energy-efficient setups.
Publications
Infoscience publications
Personalized Real-Time Federated Learning for Epileptic Seizure Detection
IEEE Journal of Biomedical and Health Informatics. 2021-07-09. DOI : 10.1109/JBHI.2021.3096127.The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms
Scientific Data. 2021-06-23. DOI : 10.1038/s41597-021-00937-4.Interpreting deep learning models for epileptic seizure detection on EEG signals
Artificial Intelligence in Medicine. 2021-05-01. DOI : 10.1016/j.artmed.2021.102084.Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices
2021-04-12. 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, Online, May 3-7, 2021.Knowledge, Machine Learning and Atrial Fibrillation: More Ingredients for a Tastier Cocktail
2020. 2020 Computing in Cardiology Conference (CinC), Rimini, Italy, September 13th-16th, 2020. DOI : 10.22489/CinC.2020.476.An Event-Based System for Low-Power ECG QRS Complex Detection
2020. DATE 2020 - Design, Automation & Test In Europe Conference & Exhibition, Grenoble, France, March 9-13, 2020. p. 258-263. DOI : 10.23919/DATE48585.2020.9116498.Event-Triggered Sensing for High-Quality and Low-Power Cardiovascular Monitoring Systems
IEEE Design & Test. 2019-11-04. DOI : 10.1109/MDAT.2019.2951126.Selected publications
| T. Teijeiro, C.A. García, D. Castro, and P. Félix Physiological Measurement |
Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification |
| T. Teijeiro and P. Félix Artificial Intelligence |
On the adoption of abductive reasoning for time series interpretation |
| T. Teijeiro, P. Félix, J. Presedo, and D. Castro IEEE Journal of Biomedical and Health Informatics |
Heartbeat classification using abstract features from the abductive interpretation of the ECG |