• The work of CITIC at UDC, developed by Adriana Anido Alonso and Diego Álvarez Estévez, was presented at an international symposium in Norway.

The researcher from CITIC at UDC, Adriana Anido Alonso, participated in the «IEEE Symposium Series on Computational Intelligence», which took place from March 17 to 20 in Trondheim, Norway.

Anido presented the study «Multi-task deep-learning for sleep event detection and stage classification», which she develops with Diego Álvarez Estévez.

According to the researcher from CITIC, this work focuses on the development of an artificial intelligence algorithm designed to automatically analyze sleep studies, known as polysomnographies. These studies record various body signals while we sleep. «Our algorithm is capable of detecting crucial events, such as pauses in breathing or brief awakenings, and at the same time identifying, in a single visualization, the sleep stage the person is in», she points out.

Currently, these studies are carried out manually and require a great deal of time, so the tool developed by the CITIC team aims to speed up diagnosis and improve the work of specialists in the treatment of sleep disorders.

The IEEE Symposium Series on Computational Intelligence is a recognized meeting for promoting the exchange of theories and algorithms within the field of computational intelligence. Participation in this congress ensures the exchange of ideas and research, as well as fostering an ideal environment for the birth of collaborations among researchers.