Matias Rusanen
Postdoctoral Researcher
Department of Technical Physics, Faculty of Science, Forestry and Technology
Publications
18/18 items-
Automated deep learning-based arousal detection complies with ten expert scorers in unseen data
Pitkänen, Henna; Huttunen, Riku; Tashakori, Masoumeh; Rissanen, Marika; Rusanen, Matias; Gretarsdottir, Heidur; Arnardottir, Erna Sif; Paunio, Tiina; Kulkas, Antti; Nikkonen, Sami; Leppänen, Timo; Korkalainen, Henri, 2026, Sleep, [Epub ahead of print 21 Aug 2026], zsag191. A1 Journal article (refereed), original research -
Deep Learning-Based Assessment of Sleepiness from Fingertip Pulse Wave Analysis During Objective Daytime Testing
Rusanen, Matias; Kainulainen, Samu; Myllymaa, Sami; Leppänen, Timo; Tamisier, Renaud; Baillieul, Sébastien; Bailly, Sébastien; Pepin, Jean-Louis, 2026, Annals of biomedical engineering, [Published: 28 September 2026], 1-9. A1 Journal article (refereed), original research -
Direct Quantification of Uncertainty in Deep Learning-Based Automatic Sleep Staging
Vainikka, Miika; Huttunen, Riku; Kainulainen, Samu; Korkalainen, Henri; Rusanen, Matias, 2026, IEEE transactions on biomedical engineering, 73, 6, 2144-2154. A1 Journal article (refereed), original research -
Hypnodensity sleep metrics from fingertip photoplethysmography are better associated with daytime sleepiness and fatigue than traditional metrics from polysomnography
Rusanen, Matias; Tuyinsenge, Viateur; Muller, Sandrine; Tamisier, Renaud; Baillieul, Sébastien; Myllymaa, Sami; Kainulainen, Samu; Leppänen, Timo; Pepin, Jean-Louis; Bailly, Sébastien, 2026, Pulmonology, 32, 1, 2683326. A1 Journal article (refereed), original research -
Participation in Sleep Europe Conferences: Insights From Early Career Professionals
Ravikumar, Monisha; Pawley, Michaela; Biller, Anna M.; van Egmond, Lieve; Stankeviciute, Laura; Rusanen, Matias; Noain, Daniela; Dias, Inês; Hartescu, Iuliana; Pilkington‐Cheney, Fran; Michalak, Adriana, 2026, Journal of sleep research, [First published: 31 May 2026], 1-14. A1 Journal article (refereed), original research -
RAVEN: Software for automated sleep microstructure analysis from electroencephalography
Arolaakso, Mikko; Pitkänen, Henna; Pitkänen, Minna; Rusanen, Matias; Korkalainen, Henri; Karhu, Tuomas; Häkkinen, Saila; Hiltunen, Mika; Kainulainen, Samu, 2026, Biomedical signal processing and control, 123, Part B, 110552. A1 Journal article (refereed), original research -
Optimal Electroencephalogram and Electrooculogram Signal Combination for Deep Learning-based Sleep Staging
Tashakori, 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 -
A comparative analysis of unsupervised machine‐learning methods in PSG‐related phenotyping
Ghorvei, Mohammadreza; Karhu, Tuomas; Hietakoste, Salla; Ferreira‐Santos, Daniela; Hrubos‐Strøm, Harald; Islind, Anna Sigridur; Biedebach, Luka; Nikkonen, Sami; Leppänen, Timo; Rusanen, Matias, 2024, Journal of sleep research, 34, 3, e14349. A1 Journal article (refereed), original research -
Excessive daytime sleepiness is associated with relative delta frequency power among patients with mild OSA
Howarth, Timothy; Tashakori, Masoumeh; Karhu, Tuomas; Rusanen, Matias; Pitkänen, Henna; Oksenberg, Arie; Nikkonen, Sami, 2024, Frontiers in neurology, 15, 1367860. A1 Journal article (refereed), original research -
Interhemispheric differences of electroencephalography signal characteristics in different sleep stages
Tashakori, Masoumeh; Rusanen, Matias; Karhu, Tuomas; Grote, Ludger; Nath, Rajdeep Kumar; Leppänen, Timo; Nikkonen, Sami, 2024, Sleep medicine, 117, 201-208. A1 Journal article (refereed), original research