Publicacións (44) Publicacións de Diego Álvarez Estévez

2023

  1. Challenges of Applying Automated Polysomnography Scoring at Scale

    Sleep Medicine Clinics, Vol. 18, Núm. 3, pp. 277-292

  2. Decentralized Data-Privacy Preserving Deep-Learning Approaches for Enhancing Inter-Database Generalization in Automatic Sleep Staging

    IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 11, pp. 5610-5621

  3. Performance of Xiaomi Mi Band 5 Against Polysomnography in Measuring Sleep

    VI Congreso XoveTIC: impulsando el talento científico

  4. Quality of Sleep Data Validation From the Xiaomi Mi Band 5 Against Polysomnography: Comparison Study

    Journal of Medical Internet Research, Vol. 25

  5. Quantum Factory Method: A Software Engineering Approach to Deal with Incompatibilities in Quantum Libraries

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Use of Deep Learning Techniques for Motor Events Detection in Polysomnographic Records

    VI Congreso XoveTIC: impulsando el talento científico

2022

  1. Analysis of ensemble-combination strategies for improving inter-database generalization of deep-learning-based automatic sleep staging

    2022 IEEE-EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL AND HEALTH INFORMATICS (BHI) JOINTLY ORGANISED WITH THE IEEE-EMBS INTERNATIONAL CONFERENCE ON WEARABLE AND IMPLANTABLE BODY SENSOR NETWORKS (BSN'22)

  2. Computer-assisted analysis of polysomnographic recordings improves interscorer associated agreement and scoring times

    PLoS ONE, Vol. 17, Núm. 9 September

2021

  1. Inter-database validation of a deep learning approach for automatic sleep scoring

    PLoS ONE, Vol. 16, Núm. 8 August

2020

  1. Addressing database variability in learning from medical data: An ensemble-based approach using convolutional neural networks and a case of study applied to automatic sleep scoring

    Computers in Biology and Medicine, Vol. 119

  2. Sleep-related leg movements in obstructive sleep apnea: definitions, determinants, and clinical consequences

    Sleep Medicine, Vol. 75, pp. 131-140

2019

  1. Large-scale validation of an automatic EEG arousal detection algorithm using different heterogeneous databases

    Sleep Medicine, Vol. 57, pp. 6-14

2018

  1. A systematic approach to API usability: Taxonomy-derived criteria and a case study

    Information and Software Technology, Vol. 97, pp. 46-63

  2. On The Automation of Medical Knowledge and Medical Decision Support Systems

    Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 187-217

  3. Revisiting the Wang–Mendel algorithm for fuzzy classification

    Expert Systems, Vol. 35, Núm. 4

  4. Sleep-Related Leg Movements in Patients with Transient Ischemic Attack and Controls

    European Neurology, Vol. 79, Núm. 3-4, pp. 171-176

  5. Una red convolucional para la clasificación de las fases de sueño

    XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España

2017

  1. A simple and robust method for the automatic scoring of EEG arousals in polysomnographic recordings

    Computers in Biology and Medicine, Vol. 87, pp. 77-86

  2. Combining machine learning models for the automatic detection of EEG arousals

    Neurocomputing, Vol. 268, pp. 100-108

  3. Derivation and modeling of two new features for the characterization of rapid and slow eye movements in electrooculographic sleep recordings

    Biomedical Signal Processing and Control, Vol. 35, pp. 87-99