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.
Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection2021. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Virtual, October 31 – November 4, 2021.
Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices2021-04-12. 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, Online, May 3-7, 2021.
|T. Teijeiro, C.A. García, D. Castro, and P. Félix
|Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification|
|T. Teijeiro and P. Félix
|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|