NEXT-GEN-SOMNUS

New generation machine learning algorithms for the analysis of medical sleep recordings

Grant PID2023-147422OB-I00 funded by:


Latest publications

Quantum Fuzzy Inference Systems: Implementation and a Case Study on Sleep Apnea Detection

[Conference] Pacific Rim International Conference Series on Artificial Intelligence 2025

Magaz-Romero, Samuel; Mosqueira-Rey, Eduardo; Alvarez-Estevez, Diego; Moret-Bonillo, Vicente

We present a new method for implementing FIS with quantum circuits, named Quantum Fuzzy Inference Systems, providing the definitions for the logical operators and implication. We propose a practical application in sleep medicine diagnosis, more specifically for the detection of apneic events. Our results show that we are able to replicate the behavior of the classical model using the quantum proposal, up to a similarity of 99.97%.
  • Publication
    • Performance Analysis of Quantum Support Vector Classifiers and Quantum Neural Networks

    [Conference] International Joint Conference on Neural Networks 2025

    Villalba-Ferreiro, Tomás; Mosqueira-Rey, Eduardo; Alvarez-Estevez, Diego

    This study explores the performance of Quantum Support Vector Classifiers (QSVCs) and Quantum Neural Networks (QNNs) in comparison to classical models for machine learning tasks. We find that quantum models tend to outperform classical approaches as the problem complexity increases, as QNNs exhibit superior performance in higher-complexity tasks due to their increased quantum load. These findings highlight the potential of Quantum Machine Learning (QML) for complex classification problems and provide insights into model selection and optimization strategies.
    Multi-Task Deep-Learning for Sleep Event Detection and Stage Classification

    [Conference] IEEE Symposium Series on Computational Intelligence

    Anido-Alonso, Adriana; Alvarez-Estevez, Diego

    A multi-task deep-learning approach, inspired by computer vision's object detection, is proposed to simultaneously detect sleep events and construct hypnograms, streamlining the complex process of polysomnographic sleep analysis.
  • Publication

    • Latest news

    • Presenting quantum fuzzy inference for sleep diagnosis

      27/Nov/2025

      Post thumbnail
      Post thumbnail
      The Pacific Rim International Conference on Artificial Intelligence (PRICAI) is an annual international event dedicated to exploring AI theories, technologies, and applications across areas of scientific, social, and economic importance for the Pacific Rim. PRICAI 2025 took place in Wellington, New Zealand, and this year included, among many other topics... [Read More]

    • Analyzing the performance of various Quantum Machine Learning models

      10/Jul/2025

      Post thumbnail
      Post thumbnail
      This year, the International Joint Conference on Neural Networks (IJCNN) took place in Rome, Italy, from June 30th to July 5th. There, Eduardo Mosqueira-Rey (PI in NEXT-GEN-SOMNUS), had the oportunity to present new work about exploring the performance of Quantum Support Vector Classifiers (QSVCs) and Quantum Neural Networks (QNNs) in... [Read More]