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Akademický článek

BreathFinder: A Method for Non-Invasive Isolation of Respiratory Cycles Utilizing the Thoracic Respiratory Inductance Plethysmography Signal

Autor: Holm B, Borsky M, Arnardottir ES, Serwatko M, Mallett J, Islind AS, Óskarsdóttir M

Publikováno v: Nature and Science of Sleep, Vol Volume 16, Pp 1253-1266 (2024)

Benedikt Holm,1 Michal Borsky,1 Erna S Arnardottir,2,3 Marta Serwatko,2 Jacky Mallett,1 Anna Sigridur Islind,1 María Óskarsdóttir1 1Reykjavik University, School of Technology, Department of Computer Science, Reykjavik, Iceland; 2Reykjavik Universi

Externí odkaz: https://doaj.org/article/1643fb3280c5493788309166548476ac

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An Optimized Framework for Processing Large-scale Polysomnographic Data Incorporating Expert Human Oversight

Autor: Holm, Benedikt, Jouan, Gabriel, Hardarson, Emil, Sigurðardottir, Sigríður, Hoelke, Kenan, Murphy, Conor, Arnardóttir, Erna Sif, Óskarsdóttir, María, Islind, Anna Sigríður

Polysomnographic recordings are essential for diagnosing many sleep disorders, yet their detailed analysis presents considerable challenges. With the rise of machine learning methodologies, researchers have created various algorithms to automatically

Externí odkaz: http://arxiv.org/abs/2404.15313

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Proxy Design: A Method for Involving Proxy Users to Speak on Behalf of Vulnerable or Unreachable Users in Co-Design

Autor: Islind, Anna Sigridur, Lundin, Johan, Cerna, Katerina, Lindroth, Tomas, Åkeflo, Linda, Steineck, Gunnar

Publikováno v: Information Technology and People, 2023

Designing digital artifacts is not a linear, straightforward process. This is particularly true when applying a user-centered design approach, or co-design, with users who are unable to participate in the design process. Although the reduced particip

Externí odkaz: http://arxiv.org/abs/2310.18240

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aSAGA: Automatic Sleep Analysis with Gray Areas

Autor: Rusanen, Matias, Jouan, Gabriel, Huttunen, Riku, Nikkonen, Sami, Sigurðardóttir, Sigríður, Töyräs, Juha, Duce, Brett, Myllymaa, Sami, Arnardottir, Erna Sif, Leppänen, Timo, Islind, Anna Sigridur, Kainulainen, Samu, Korkalainen, Henri

State-of-the-art automatic sleep staging methods have already demonstrated comparable reliability and superior time efficiency to manual sleep staging. However, fully automatic black-box solutions are difficult to adapt into clinical workflow and the

Externí odkaz: http://arxiv.org/abs/2310.02032

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