Award for outstanding research results

Award for outstanding research results

Sevilla, 13.01.2022. The University of Seville has awarded HTWG doctoral student Maksym Gaiduk for his outstanding research results. In an official act of the Faculty of Computer Science, the certificate was ceremoniously presented in Seville shortly before Christmas. The article, titled "Estimation of Sleep Stages Analyzing Respiratory and Movement Signals," was selected by a committee of faculty as the best scientific article of the month of July and was ultimately awarded third best research article of 2021.

Auszeichnung Gaiduk web

Only about 100 publications met the committee's strict quality standards, and 12 of them were selected - one publication for each month. The criteria included, for example, the degree of scientific foundation, its impact, the scientific principles developed, the impact index, as well as the contribution to the internationalization of research and the excellence of the journal. Of the 100 papers originally nominated, all were of excellent quality (69 percent are in the first quartile of the Journal Citation Report).

"This article demonstrates the strength of international and interdisciplinary collaborations in sleep medicine that make such successes possible. Therefore, special thanks go to the co-authors," explains Maksym Gaiduk, who works in the Ubiquitous Computing Lab under the scientific direction of Prof. Dr. Seepold. These results were produced in cooperation with researchers from the University of Seville (Prof. Dr. Ortega and Dr. Perea), Reutlingen University (Prof. Dr. Martínez Madrid) and Charité - Universitätsmedizin Berlin (Prof. Dr. Thomas Penzel and Dr. Martin Glos).

Gaiduk's work is part of the research on interdisciplinary sleep medicine at HTWG. His work aims to provide an algorithm for automatic classification of sleep stages. It uses only signals that can be obtained non-invasively, such as motion and respiratory signals. In the future, this approach should help provide cost-effective and accurate sleep analysis. In this way, sleep disorders can be diagnosed at an early stage. Therapies can be initiated more quickly to improve health status and quality of life.

With an impact factor of 5.772 (as of 2020), the Journal of Biomedical and Health Informatics is not only among the leaders from the first quartile of high-quality journals, but even among the top five journals from the entire knowledge area of mathematical and computational biology.

The pre-publication version of the article can already be accessed, and the final publication will be released by IEEE in the coming months:
M. Gaiduk, J. J. Perea, R. Seepold, N. Martínez Madrid, T. Penzel, M. Glos, and J. A. Ortega, "Estimation of Sleep Stages Analyzing Respiratory and Movement Signals," IEEE Journal of Biomedical and Health Informatics, 2021, doi: 10.1109/JBHI.2021.3099295.

Persons in the picture (from left to right): Prof. Dr. María del Carmen Graciani Díaz, Prof. Dr. José Luis Sevillano Ramos, Cristina Rubio Escudero, Maksym Gaiduk

The link to the HTWG article is this.


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