Publicaciones en colaboración con investigadoras/es de École Polytechnique Fédérale de Lausanne (17)

2024

  1. Combining general and personal models for epilepsy detection with hyperdimensional computing

    Artificial Intelligence in Medicine, Vol. 148

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

    IEEE Transactions on Mobile Computing, Vol. 23, Núm. 5, pp. 6392-6407

2023

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

    Computer Methods and Programs in Biomedicine, Vol. 241

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

    IEEE Journal on Emerging and Selected Topics in Circuits and Systems, Vol. 13, Núm. 2, pp. 489-501

  3. Event-based sampled ECG morphology reconstruction through self-similarity

    Computer Methods and Programs in Biomedicine, Vol. 240

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

    Epilepsia, Vol. 64, Núm. S4, pp. S23-S33

2022

  1. Approximate zero-crossing: a new interpretable, highly discriminative and low-complexity feature for EEG and iEEG seizure detection

    Journal of neural engineering, Vol. 19, Núm. 6

  2. ExG Signal Feature Selection Using Hyperdimensional Computing Encoding

    Proceedings - 2022 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2022

  3. HDTorch: Accelerating hyperdimensional computing with GP-GPUs for design space exploration

    IEEE/ACM International Conference on Computer-Aided Design, Digest of Technical Papers, ICCAD

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

    Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022

  5. Multi-Centroid Hyperdimensional Computing Approach for Epileptic Seizure Detection

    Frontiers in Neurology, Vol. 13

  6. Personalized Real-Time Federated Learning for Epileptic Seizure Detection

    IEEE Journal of Biomedical and Health Informatics, Vol. 26, Núm. 2, pp. 898-909

2021

  1. Interpreting deep learning models for epileptic seizure detection on EEG signals

    Artificial Intelligence in Medicine, Vol. 117

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

    Scientific Data

2020

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

    Proceedings of the 2020 Design, Automation and Test in Europe Conference and Exhibition, DATE 2020

  2. Event-triggered sensing for high-quality and low-power cardiovascular monitoring systems

    IEEE Design and Test, Vol. 37, Núm. 5, pp. 85-93

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

    Computing in Cardiology