 
				Riku Huttunen
Visiting Researcher
Sleep apnea diagnostics research and development
Department of Technical Physics, Faculty of Science, Forestry and Technology
Publications
7/7 items- 
																							
																									Optimal Electroencephalogram and Electrooculogram Signal Combination for Deep Learning-based Sleep StagingTashakori, Masoumeh; Rusanen, Matias; Karhu, Tuomas; Huttunen, Riku; Leppanen, Timo; Nikkonen, Sami, 2025, IEEE journal of biomedical and health informatics, 29, 7, 4741-4747. A1 Journal article (refereed), original research
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																									Retrospective validation of automatic sleep analysis with grey areas model for human‐in‐the‐loop scoring approachRusanen, 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, 2024, Journal of sleep research, [First published: 23 October 2024], 1-13. A1 Journal article (refereed), original research
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																									Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband RecordingsRusanen, Matias; Huttunen, Riku; Korkalainen, Henri; Myllymaa, Sami; Toyras, Juha; Myllymaa, Katja; Sigurdardottir, Sigridur; Olafsdottir, Kristin Anna; Leppanen, Timo; Arnardottir, Erna Sif; Kainulainen, Samu, 2023, IEEE journal of biomedical and health informatics, 27, 4, 1869-1880. A1 Journal article (refereed), original research
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																									A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event DetectionHuttunen, Riku; Leppanen, Timo; Duce, Brett; Arnardottir, Erna S.; Nikkonen, Sami; Myllymaa, Sami; Toyras, Juha; Korkalainen, Henri, 2022, IEEE transactions on biomedical engineering, [Date of Publication: 28 November 2022], 1-12. A1 Journal article (refereed), original research
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																									Assessment of Obstructive Sleep Apnea-Related Sleep Fragmentation Utilizing Deep Learning-Based Sleep Staging from PhotoplethysmographyHuttunen, R; Leppänen, T; Duce, B; Oksenberg, A; Myllymaa, S; Töyräs, J; Korkalainen, H, 2021, Sleep, 44, 10, zsab142. A1 Journal article (refereed), original research
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																									Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization PatternsLiimatainen, Kaisa; Huttunen, Riku; Latonen, Leena; Ruusuvuori, Pekka, 2021, Biomolecules, 11, 2, 264. A1 Journal article (refereed), original research
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																									Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance taskKainulainen, Samu; Duce, Brett; Korkalainen, Henri; Leino, Akseli; Huttunen, Riku; Kalevo, Laura; Arnardottir, Erna S; Kulkas, Antti; Myllymaa, Sami; Töyräs, Juha; Leppänen, Timo, 2020, ERJ open research, 6, 4, 00277-202. A1 Journal article (refereed), original research
