Riku Huttunen
Visiting Researcher
Sleep apnea diagnostics research and development
Department of Technical Physics, Faculty of Science, Forestry and Technology
riku.huttunen@uef.fi
Research groups
Publications
5/5 items-
Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings
Rusanen, 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: 1869-1880 -
A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection
Huttunen, 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 -
Assessment of Obstructive Sleep Apnea-Related Sleep Fragmentation Utilizing Deep Learning-Based Sleep Staging from Photoplethysmography
Huttunen, R; Leppänen, T; Duce, B; Oksenberg, A; Myllymaa, S; Töyräs, J; Korkalainen, H. 2021. Sleep. 44: zsab142 -
Convolutional Neural Network-Based Artificial Intelligence for Classification of Protein Localization Patterns
Liimatainen, Kaisa; Huttunen, Riku; Latonen, Leena; Ruusuvuori, Pekka. 2021. Biomolecules. 11: 264 -
Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance task
Kainulainen, 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: 00277-202