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
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection
2021. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Virtual, October 31 – November 4, 2021.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 |