Tomás Teijeiro Campo-rekin lankidetzan egindako argitalpenak (11)

2024

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

    IEEE Transactions on Biomedical Engineering, Vol. 70, Núm. 3, pp. 941-953

  3. 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

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

    Computer Methods and Programs in Biomedicine, Vol. 240

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

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