Tomas Teijeiro

tomas.teijeiro@epfl.ch

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EPFL › STI › IEM › ESL

Site web: https://esl.epfl.ch

Publications Enseignement et PhD

Publications représentatives

Abductive reasoning as the basis to reproduce expert criteria in ECG Atrial Fibrillation identification

T. Teijeiro, C.A. GarcÃa, D. Castro, and P. FÃ©lix
Published in Physiological Measurement in

On the adoption of abductive reasoning for time series interpretation

T. Teijeiro and P. FÃ©lix
Published in Artificial Intelligence in

Heartbeat classification using abstract features from the abductive interpretation of the ECG

T. Teijeiro, P. FÃ©lix, J. Presedo, and D. Castro
Published in IEEE Journal of Biomedical and Health Informatics in

M2SKD: Multi-to-Single Knowledge Distillation of Real-Time Epileptic Seizure Detection for Low-Power Wearable Systems

S. Baghersalimi; A. Amirshahi; F. Forooghifar; T. Teijeiro; AMIR AMINIFAR et al.

ACM Transactions on Intelligent Systems and Technology. 2024-05-29.

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Acoustical Features as Knee Health Biomarkers: A Critical Analysis

C. Kechris; J. P. R. Thevenot; T. Teijeiro; V. Stadelmann; N. Maffiuletti et al.

2024-05-23.

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Combining general and personal models for epilepsy detection with hyperdimensional computing

U. Pale; T. Teijeiro; S. Rheims; P. Ryvlin; D. Atienza

Artificial Intelligence In Medicine. 2024-01-09. DOI : 10.1016/j.artmed.2023.102754.

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Decentralized Federated Learning for Epileptic Seizures Detection in Low-Power Wearable Systems

S. Baghersalimi; T. Teijeiro; A. Aminifar; D. Atienza Alonso

IEEE Transactions on Mobile Computing. 2023. DOI : 10.1109/TMC.2023.3320862.

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Event-based sampled ECG morphology reconstruction through self-similarity

S. Zanoli; G. Ansaloni; T. Teijeiro; D. Atienza

Computer Methods And Programs In Biomedicine. 2023-10-01. DOI : 10.1016/j.cmpb.2023.107712.

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Layer-Wise Learning Framework for Efficient DNN Deployment in Biomedical Wearable Systems

S. Baghersalimi; A. Amirshahi; T. Teijeiro; A. Aminifar; D. Atienza Alonso

2023-10-09. IEEE-EMBS International Conference on Body Sensor Networks: Sensors and Systems for Digital Health (IEEE BSN) 2023, Cambridge, MA, US, October 9-11, 2023. DOI : 10.1109/BSN58485.2023.10331334.

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A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

L. Orlandic; T. Teijeiro; D. Atienza

Computer Methods and Programs in Biomedicine. 2023. DOI : 10.1016/j.cmpb.2023.107743.

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A Multimodal Dataset for Automatic Edge-AI Cough Detection

L. Orlandic; J. P. R. Thevenot; T. Teijeiro; D. Atienza Alonso

2023-07-24. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Sydney Australia, July 24-27, 2023. DOI : 10.1109/EMBC40787.2023.10340413.

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An Error-Based Approximation Sensing Circuit for Event-Triggered Low-Power Wearable Sensors

S. Zanoli; F. Ponzina; T. Teijeiro; A. S. J. Levisse; D. Atienza Alonso

IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2023. DOI : 10.1109/JETCAS.2023.3269623.

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Importance of methodological choices in data manipulation for validating epileptic seizure detection models

U. Pale; T. Teijeiro; D. Atienza Alonso

2023. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, July 24-27, 2023. DOI : 10.1109/EMBC40787.2023.10340493.

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ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

U. Pale; T. Teijeiro; D. Atienza

2022-12-08. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Las Vegas, NV, USA, 06-08 December 2022. p. 1688-1693. DOI : 10.1109/BIBM55620.2022.9995107.

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HDTorch: Accelerating Hyperdimensional Computing with GP-GPUs for Design Space Exploration

W. A. Simon; U. Pale; T. Teijeiro; D. Atienza

2022-06-09. ICCAD 2022 - 41st IEEE/ACM International Conference on Computer-Aided Design, San Diego, USA, 30 October 2022- 3 November 2022. p. 1-8. DOI : 10.1145/3508352.3549475.

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Adaptive R-Peak Detection on Wearable ECG Sensors for High-Intensity Exercise

E. De Giovanni; T. Teijeiro; G. P. Millet; D. Atienza Alonso

IEEE Transactions on Biomedical Engineering. 2022-09-09. DOI : 10.1109/TBME.2022.3205304.

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Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

U. Pale; T. Teijeiro; D. Atienza

Frontiers in Neurology. 2022-03-31. DOI : 10.3389/fneur.2022.816294.

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Exploration of Hyperdimensional Computing Strategies for Enhanced Learning on Epileptic Seizure Detection

U. Pale; T. Teijeiro; D. Atienza Alonso

2022. 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC 2022), Glasgow, Scotland, July 11-15, 2022. p. 4076-4082. DOI : 10.1109/EMBC48229.2022.9870919.

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Personalized seizure signature: An interpretable approach to false alarm reduction for long‐term epileptic seizure detection

D. Sopic; T. Teijeiro; D. Atienza; A. Aminifar; P. Ryvlin

Epilepsia. 2022-02-03. DOI : 10.1111/epi.17176.

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INCLASS: Incremental Classification Strategy for Self-Aware Epileptic Seizure Detection

L. Ferretti; G. Ansaloni; R. Marquis; T. Teijeiro; P. Ryvlin et al.

2022-03-23. Design Automation and Test in Europe Conference (DATE2022), Grenoble, France, March 16-23, 2022. p. 1449-1454. DOI : 10.23919/DATE54114.2022.9774713.

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Systematic Assessment of Hyperdimensional Computing for Epileptic Seizure Detection

U. Pale; T. Teijeiro; D. Atienza Alonso

2021. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC, Virtual, October 31 – November 4, 2021. DOI : 10.1109/EMBC46164.2021.9629648.

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Personalized Real-Time Federated Learning for Epileptic Seizure Detection

S. Baghersalimi; T. Teijeiro; D. Atienza; A. Aminifar

IEEE Journal of Biomedical and Health Informatics. 2021-07-09. DOI : 10.1109/JBHI.2021.3096127.

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The COUGHVID crowdsourcing dataset, a corpus for the study of large-scale cough analysis algorithms

L. Orlandic; T. Teijeiro; D. Atienza Alonso

Scientific Data. 2021-06-23. DOI : 10.1038/s41597-021-00937-4.

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Interpreting deep learning models for epileptic seizure detection on EEG signals

V. Gabeff; T. Teijeiro; M. Zapater; L. Cammoun; S. Rheims et al.

Artificial Intelligence in Medicine. 2021-05-01. DOI : 10.1016/j.artmed.2021.102084.

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Self-Aware Anomaly-Detection for Epilepsy Monitoring on Low-Power Wearable Electrocardiographic Devices

F. Forooghifar; A. Aminifar; T. Teijeiro; A. Aminifar; J. Jeppesen et al.

2021-04-12. 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, Online, May 3-7, 2021. DOI : 10.1109/AICAS51828.2021.9458555.

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Knowledge, Machine Learning and Atrial Fibrillation: More Ingredients for a Tastier Cocktail

T. Teijeiro

2020. 2020 Computing in Cardiology Conference (CinC), Rimini, Italy, September 13th-16th, 2020. DOI : 10.22489/CinC.2020.476.

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An Event-Based System for Low-Power ECG QRS Complex Detection

S. Zanoli; T. Teijeiro; F. Montagna; D. Atienza Alonso

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.

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