Tomás Teijeiro Campo

BCAM Researcher

T +34 946 567 842
F +34 946 567 842

Information of interest

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. In the 2018-2022 period I worked as a research associate with the Embedded Systems Laboratory (ESL) at the École polytechnique fédérale de Lausanne (EPFL), and during 2022 I was with the Mathmode group at the University of the Basque Country (UPV/EHU). Since January 2023 I am with the BCAM - Basque Center for Applied Mathematics with a Ramón y Cajal Research Fellowship. My research interests include knowledge representation, non-monotonic temporal reasoning, efficient machine learning, event-based sensing, and their application to biosignal abstraction and interpretation in energy-efficient setups.

  • Event-based sampled ECG morphology reconstruction through self-similarity 

    Zanoli, S.; Ansaloni, G.; Teijeiro, T.Autoridad BCAM; Atienza, D. (2023-10-01)
    Background and Objective: Event-based analog-to-digital converters allow for sparse bio-signal acquisition, enabling local sub-Nyquist sampling frequency. However, aggressive event selection can cause the loss of important ...
  • A Multimodal Dataset for Automatic Edge-AI Cough Detection 

    Orlandic, L.; Thevenot, J.P.R.; Teijeiro, T.Autoridad BCAM; Atienza, D. (2023-07)
    Counting the number of times a patient coughs per day is an essential biomarker in determining treatment efficacy for novel antitussive therapies and personalizing patient care. Automatic cough counting tools must provide ...

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