https://doi.org/10.1140/epjs/s11734-024-01415-9
Regular Article
Extreme events in biomedical data
Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, 14 A. Nevskogo, 236016, Kaliningrad, Russia
Received:
13
September
2024
Accepted:
14
November
2024
Published online:
28
November
2024
In this paper, we provided a brief review of the study of extreme events in biomedical data. The main topics of interest were states in the living system that lead to the occurrence of extreme events, types of biomedical signals containing extreme events, extreme value theory approaches used to detect/predict extreme dynamics, the results obtained and their possible application in medical diagnostics/treatment. The main purpose of the review is to draw attention to this relevant area of research.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
