Visual Analytics for the Analysis of Sleep Quality

Maria Tsiobra, Georgios Nikolis, Christos Diamantakis, Matthew Salanitro, Ilias Kalamaras, Vasilis Lwlis, Thomas Penzel, Konstantinos Votis, Dimitrios Tzovaras

2025

Abstract

Monitoring the quality of sleep in patients of sleep disorders is often a time-consuming process, where the clinician manually navigates through large volumes of recorded polysomnography data in an effort to visually detect sleep patterns, such as sleep spindles, sleep stages and hints of disorders. We propose an application that provides healthcare professionals with advanced tools for sleep analysis and spindle detection through visual analytics for pattern detection, AI-based sleep scoring, and an interactive user interface. The system processes multiple physiological signals and provides both raw data visualization, advanced feature analysis capabilities, and a two-dimensional embedding of sleep intervals. By combining signal processing, spindle detection, sleep stage identification and interactive visualization tools, this work helps researchers to efficiently identify, validate, and analyze sleep and spindle characteristics with higher precision than traditional methods.

Paper Citation

in Harvard Style

Tsiobra M., Nikolis G., Diamantakis C., Salanitro M., Kalamaras I., Lwlis V., Penzel T., Votis K. and Tzovaras D. (2025). Visual Analytics for the Analysis of Sleep Quality. In Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP; ISBN 978-989-758-728-3, SciTePress, pages 983-991. DOI: 10.5220/0013376500003912

in Bibtex Style

@conference{ivapp25,
author={Maria Tsiobra and Georgios Nikolis and Christos Diamantakis and Matthew Salanitro and Ilias Kalamaras and Vasilis Lwlis and Thomas Penzel and Konstantinos Votis and Dimitrios Tzovaras},
title={Visual Analytics for the Analysis of Sleep Quality},
booktitle={Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP},
year={2025},
pages={983-991},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013376500003912},
isbn={978-989-758-728-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: IVAPP
TI - Visual Analytics for the Analysis of Sleep Quality
SN - 978-989-758-728-3
AU - Tsiobra M.
AU - Nikolis G.
AU - Diamantakis C.
AU - Salanitro M.
AU - Kalamaras I.
AU - Lwlis V.
AU - Penzel T.
AU - Votis K.
AU - Tzovaras D.
PY - 2025
SP - 983
EP - 991
DO - 10.5220/0013376500003912
PB - SciTePress