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Henri Korkalainen

Henri Korkalainen

Senior Researcher

Postdoctoral Researcher, Doctor of Philosophy, Medical Physics

Department of Technical Physics, Faculty of Science, Forestry and Technology

[email protected]

Information Publications

Research focused on the applications of machine learning to sleep medicine. Interests in biosignal analysis, neural networks, data analysis, sleep apnea diagnostics, and health technology.

Research groups

Sleep Technology and Analytics Research (STAR) Group 01.01.2017 -

Keywords

biomedical engineering deep learning health technology machine learning mathematics medical physics neural networks signal analysis sleep medicine

Publications

56/56 items

Artificial intelligence in sleep medicine I: Diagnosis, treatment, care, and research
Sharafkhaneh, Amir; Hirshkowitz, Max; Razjouyan, Javad; BaHammam, Ahmed; Leppanen, Timo; Shin, Chol; Korkalainen, Henri; Penzel, Thomas, 2026, Sleep medicine reviews, 88, 102295. A2 Review article, Literature review, Systematic review
Association of major adverse cardiovascular events with the apnea-hypopnea index, desaturation severity parameters, and cardiac troponins in participants of the Akershus Sleep APnea (ASAP) cohort
Feng, Xin; Sigurdardottir, Fjola; Arnardottir, Erna Sif; Dammen, Toril; Einvik, Gunnar; Korkalainen, Henri; Klungsøyr, Ole; Leppänen, Timo; Nordhus, Inger Hilde; Nikkonen, Sami; Töyräs, Juha; Thorshov, Thea; Øverby, Tonje Caroline; Omland, Torbjørn; Hrubos-Strøm, Harald, 2026, Sleep, 49, 8, zsag013. A1 Journal article (refereed), original research
Automated daily adaptation for breast cancer radiotherapy: benefits of deep learning-driven dose prediction workflow for CBCT-based adaptation
Pesonen, Nina; Viren, Tuomas; Mankinen, Mikko; Leino, Akseli; Heikkilä, Janne; Maladenige, Hiran CG; Seppälä, Jan; Korkalainen, Henri, 2026, Physics in medicine and biology, 71, 7, 075001. 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
Editorial: Novel technologies in the diagnosis and management of sleep-disordered breathing, volume III
Zou, Ding; Korkalainen, Henri, 2026, Frontiers in sleep, 4, 1767653. B1 Non-refereed journal articles
KaSARi: a national framework for standardized, automated, and predictive radiotherapy in Finland
Seppälä, Jan; Tengström, Maria; Korkalainen, Henri; Virén, Tuomas; Honkanen, Juuso TJ; Nikkinen, Juha; Lehtiö, Kaisa; Ålgars, Annika; Keyriläinen, Jani; Suilamo, Sami; Nurmi, Heidi; Skyttä, Tanja; Boman, Eeva; Vatanen, Tero; Sailas, Liisa; Arkko, Ulla-Mari; Vuolukka, Kristiina; Koivumäki, Tuomas; Metsäharju, Tiina; Voivalin, Timo; Heikkilä, Janne, 2026, Acta oncologica, 65, 430-436. 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
Review of Hypoxemia Quantification Methods for Assessing the Severity of Obstructive Sleep Apnea
Pahari, Purbanka; Nikkonen, Sami; Howarth, Timothy; Parekh, Ankit; Bubu, Omonigho Michael; Töyräs, Juha; Leppänen, Timo; Korkalainen, Henri, 2026, Current sleep medicine reports, 12, 1, 46. A2 Review article, Literature review, Systematic review
A comprehensive dose-volume histogram-based index for radiotherapy treatment plan quality evaluation: application to breast cancer radiotherapy
Maladenige, Hiran CG; Seppälä, Jan; Viren, Tuomas; Honkanen, Juuso TJ; Heikkilä, Janne; Leino, Akseli; Korkalainen, Henri, 2025, Physics in medicine and biology, 70, 21, 215011. A1 Journal article (refereed), original research
A novel mobile application to examine impaired vigilance through digital means
Pahari, Purbanka; Schmitz, Lisa; Richert, Elena; Jóhannsdóttir, Kamilla Rún; Kristbergsdóttir, Hlín; Korkalainen, Henri; Töyräs, Juha; Leppänen, Timo; Nikkonen, Sami; Arnardottir, Erna Sif; Islind, Anna Sigridur, 2025, Scientific reports, 15, 1, 39115. A1 Journal article (refereed), original research
Editorial: Novel technologies in the diagnosis and management of sleep-disordered breathing, volume II
Zou, Ding; Korkalainen, Henri, 2025, Frontiers in sleep, 4, 1-4. B1 Non-refereed journal articles
Validation of manually scored multichannel frontal electroencephalography against polysomnography in a paediatric cohort
Sigurdardottir, Sigridur; Pitkänen, Henna; Korkalainen, Henri; Kainulainen, Samu; Serwatko, Marta; Olafsdottir, Kristin A; Sigurðardóttir, Sigurveig Þ; Clausen, Michael; Somaskandhan, Pranavan; Stražišar, Barbara G; Leppänen, Timo; Arnardottir, Erna Sif, 2025, Journal of sleep research, 34, 6, e70012. A1 Journal article (refereed), original research
Deep learning‐based prediction of the dose–volume histograms for volumetric modulated arc therapy of left‐sided breast cancer
Leino, Akseli; Heikkilä, Janne; Virén, Tuomas; Honkanen, Juuso TJ.; Seppälä, Jan; Korkalainen, Henri, 2024, Medical physics, 51, 11, 7986-7997. A1 Journal article (refereed), original research
Editorial: Novel technologies in the diagnosis and management of sleep-disordered breathing
Korkalainen, Henri; Zou, Ding, 2024, Frontiers in sleep, 3, 1385793. B1 Non-refereed journal articles
Prolonged lung-to-finger circulation time indicates an increased risk of intermittent hypoxaemia in sleep apnoea patients
Pahari, Purbanka; Korkalainen, Henri; Arnardóttir, Erna Sif; Islind, Anna Sigridur; August, Elias; Oksenberg, Arie; Töyräs, Juha; Leppänen, Timo; Nikkonen, Sami, 2024, ERJ open research, 10, 4, 01051-2023. A1 Journal article (refereed), original research
Respiratory event index underestimates severity of sleep apnea compared to apnea-hypopnea index
Pitkänen, Minna; Nath, Rajdeep Kumar; Korkalainen, Henri; Nikkonen, Sami; Mahamid, Alaa; Oksenberg, Arie; Duce, Brett; Töyräs, Juha; Kainulainen, Samu; Leppänen, Timo, 2024, Sleep advances, 5, 1, zpad054. A1 Journal article (refereed), original research
Retrospective validation of automatic sleep analysis with grey areas model for human‐in‐the‐loop scoring approach
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, 2024, Journal of sleep research, 34, 3, e14362. A1 Journal article (refereed), original research
Sleep stage continuity is associated with objective daytime sleepiness in patients with suspected obstructive sleep apnea
Chen, Xin; Leppänen, Timo; Kainulainen, Samu; Howarth, Timothy P; Oksenberg, Arie; Töyräs, Juha; Terrill, Philip I; Korkalainen, Henri, 2024, Journal of clinical sleep medicine, 20, 10, 1595-1606. A1 Journal article (refereed), original research
Temporal and sleep stage‐dependent agreement in manual scoring of respiratory events
Pitkänen, Minna; Pitkänen, Henna; Nath, Rajdeep Kumar; Nikkonen, Sami; Kainulainen, Samu; Korkalainen, Henri; Ólafsdóttir, Kristín Anna; Arnardottir, Erna Sif; Sigurdardottir, Sigridur; Penzel, Thomas; Fanfulla, Francesco; Anttalainen, Ulla; Saaresranta, Tarja; Grote, Ludger; Hedner, Jan; Staats, Richard; Töyräs, Juha; Leppänen, Timo, 2024, Journal of sleep research, 34, 3, e14391. A1 Journal article (refereed), original research
Variation in the Photoplethysmogram Response to Arousal From Sleep Depending on the Cause of Arousal and the Presence of Desaturation
Luukinen, Mieli; Pitkänen, Henna; Leppänen, Timo; Töyräs, Juha; Islind, Anna Sigridur; Kainulainen, Samu; Korkalainen, Henri, 2024, IEEE journal of translational engineering in health and medicine, 12, 328-339. A1 Journal article (refereed), original research
Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls
Somaskandhan, Pranavan; Leppänen, Timo; Terrill, Philip I; Sigurdardottir, Sigridur; Arnardottir, Erna Sif; Ólafsdóttir, Kristín A; Serwatko, Marta; Sigurðardóttir, Sigurveig Þ; Clausen, Michael; Töyräs, Juha; Korkalainen, Henri, 2023, Frontiers in neurology, 14, 1162998. A1 Journal article (refereed), original research
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, 4, 1869-1880. A1 Journal article (refereed), original research
Morbid obesity influences the nocturnal electrocardiogram wave and interval durations among suspected sleep apnea patients
Kainulainen, Samu; Suni, Aaron; Lipponen, Jukka A; Kulkas, Antti; Duce, Brett; Korkalainen, Henri; Nikkonen, Sami; Sillanmäki, Saara, 2023, Annals of noninvasive electrocardiology, 29, 1, e13101. A1 Journal article (refereed), original research
Multicentre sleep-stage scoring agreement in the Sleep Revolution project
Nikkonen, Sami; Somaskandhan, Pranavan; Korkalainen, Henri; Kainulainen, Samu; Terrill, Philip I; Gretarsdottir, Heidur; Sigurdardottir, Sigridur; Olafsdottir, Kristin Anna; Islind, Anna Sigridur; oskarsdottir, Maria; Arnardottir, Erna Sif; Leppänen, Timo, 2023, Journal of sleep research, 33, 1, e13956. A1 Journal article (refereed), original research
Multi‐centre arousal scoring agreement in the Sleep Revolution
Pitkänen, Henna; Nikkonen, Sami; Rissanen, Marika; Islind, Anna Sigridur; Gretarsdottir, Heidur; Arnardottir, Erna Sif; Leppänen, Timo; Korkalainen, Henri, 2023, Journal of sleep research, 33, 4, e14127. A1 Journal article (refereed), original research
Obstructive Sleep Apnea Patients With Atrial Arrhythmias Suffer From Prolonged Recovery From Desaturations
Rissanen, Marika; Korkalainen, Henri; Duce, Brett; Sillanmaki, Saara; Pitkanen, Henna; Suni, Aaron; Nikkonen, Sami; Kulkas, Antti; Toyras, Juha; Leppanen, Timo; Kainulainen, Samu, 2023, IEEE transactions on biomedical engineering, 70, 7, 2122-2130. A1 Journal article (refereed), original research
Reaction time in psychomotor vigilance task is related to hypoxic load in males with sleep apnea
Pahari, Purbanka; Korkalainen, Henri; Karhu, Tuomas; Arnardottir, Erna Sif; Töyräs, Juha; Leppänen, Timo; Nikkonen, Sami, 2023, Journal of sleep research, 33, 2, e13988. A1 Journal article (refereed), original research
Review and perspective on sleep-disordered breathing research and translation to clinics
Korkalainen, Henri; Kainulainen, Samu; Islind, Anna Sigridur; Óskarsdóttir, María; Strassberger, Christian; Nikkonen, Sami; Töyräs, Juha; Kulkas, Antti; Grote, Ludger; Hedner, Jan; Sund, Reijo; Hrubos-Strom, Harald; Saavedra, Jose M.; Ólafsdóttir, Kristín Anna; Ágústsson, Jón S.; Terrill, Philip I.; McNicholas, Walter T.; Arnardóttir, Erna Sif; Leppänen, Timo, 2023, Sleep medicine reviews, 73, 101874. A2 Review article, Literature review, Systematic review
Self‐applied somnography: technical feasibility of electroencephalography and electro‐oculography signal characteristics in sleep staging of suspected sleep‐disordered adults
Rusanen, Matias; Korkalainen, Henri; Gretarsdottir, Heidur; Siilak, Tiina; Olafsdottir, Kristin Anna; Töyräs, Juha; Myllymaa, Sami; Arnardottir, Erna Sif; Leppänen, Timo; Kainulainen, Samu, 2023, Journal of sleep research, 33, 2, e13977. A1 Journal article (refereed), original research
Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders
Biedebach, Luka; Rusanen, Matias; Pórðarson, Benedikt Hólm; Arnardóttir, Erna Sif; Óskarsdóttir, María; Nikkonen, Sami; Korkalainen, Henri; Myllymaa, Sami; Töyräs, Juha; Kainulainen, Samu; Leppänen, Timo; Islind, Anna Sigridur, 2023, Bui, Tung, Proceedings of the 56th Annual Hawaii International Conference on System Sciences, 3111-3120. A4 Conference proceedings
Translation of obstructive sleep apnea pathophysiology and phenotypes to personalized treatment: a narrative review
McNicholas, Walter T; Korkalainen, Henri, 2023, Frontiers in neurology, 14, 1239016. A2 Review article, Literature review, Systematic review
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. A1 Journal article (refereed), original research
Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG
Leino, Akseli; Korkalainen, Henri; Kalevo, Laura; Nikkonen, Sami; Kainulainen, Samu; Ryan, Alexander; Duce, Brett; Sipila, Kirsi; Ahlberg, Jari; Sahlman, Johanna; Miettinen, Tomi; Westeren-Punnonen, Susanna; Mervaala, Esa; Toyras, Juha; Myllymaa, Sami; Leppanen, Timo; Myllymaa, Katja, 2022, IEEE access, 10, 26554-26566. A1 Journal article (refereed), original research
Gamma Power of Electroencephalogram Arousal is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea
Pitkanen, Henna; Duce, Brett; Leppänen, Timo; Kainulainen, Samu; Kulkas, Antti; Myllymaa, Sami; Töyräs, Juha; Korkalainen, Henri, 2022, IEEE transactions on biomedical engineering, 69, 4, 1417-1423. A1 Journal article (refereed), original research
Obstructive sleep apnea‐related intermittent hypoxaemia is associated with impaired vigilance
Pahari, Purbanka; Korkalainen, Henri; Karhu, Tuomas; Rissanen, Marika; Arnardottir, Erna Sif; Hrubos‐Strøm, Harald; Duce, Brett; Töyräs, Juha; Leppänen, Timo; Nikkonen, Sami, 2022, Journal of sleep research, [First published: 08 December 2022], e13803. A1 Journal article (refereed), original research
Pulse Oximetry: The Working Principle, Signal Formation, and Applications
Leppänen, Timo; Kainulainen, Samu; Korkalainen, Henri; Sillanmäki, Saara; Kulkas, Antti; Töyräs, Juha; Nikkonen, Sami, 2022, Penzel, T; Hornero, R, Advances in the Diagnosis and Treatment of Sleep Apnea, 205-218. A3 Book section, Chapters in research books
QTc prolongation is associated with severe desaturations in stroke patients with sleep apnea
Sillanmäki, Saara; Lipponen, Jukka A; Korkalainen, Henri; Kulkas, Antti; Leppänen, Timo; Nikkonen, Sami; Töyräs, Juha; Duce, Brett; Suni, Aaron; Kainulainen, Samu, 2022, Bmc pulmonary medicine, 22, 1, 204. A1 Journal article (refereed), original research
STAR sleep recording export software for automatic export and anonymization of sleep studies
Nikkonen, Sami; Korkalainen, Henri; Töyräs, Juha; Leppänen, Timo, 2022, Scientific reports, 12, 1, 15859. A1 Journal article (refereed), original research
The severity and morphology of intermittent hypoxemias are related to impaired daytime alertness
Pahari, P; Korkalainen, H; Karhu, T; Rissanen, M; Arnardottir, ES; Strøm, HH; Duce, B; Töyräs, J; Leppänen, T; Nikkonen, S, 2022, Sleep medicine. Abstract
Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network
Nikkonen, Sami; Korkalainen, Henri; Leino, Akseli; Myllymaa, Sami; Duce, Brett; Leppänen, Timo; Töyräs, Juha, 2021, IEEE journal of biomedical and health informatics, 25, 8, 2917-2927. A1 Journal article (refereed), original research
Comparison of EEG Signal Characteristics Between Polysomnography and Self Applied Somnography Setup in a Pediatric Cohort
Kainulainen, Samu; Korkalainen, Henri; Sigurdardottir, Sigriur; Myllymaa, Sami; Serwatko, Marta; Sigurdardottir, Sigurveig Pora; Clausen, Michael; Leppänen, Timo; Arnardottir, Erna Sif, 2021, IEEE access, 9, 110916-110926. A1 Journal article (refereed), original research
Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep apnea
Korkalainen, Henri; Leppänen, Timo; Duce, Brett; Kainulainen, Samu; Aakko, Juhani; Leino, Akseli; Kalevo, Laura; Afara, Isaac O; Myllymaa, Sami; Töyräs, Juha, 2021, IEEE journal of biomedical and health informatics, 25, 7, 2567-2574. A1 Journal article (refereed), original research
Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease
Leino, Akseli; Nikkonen, Sami; Kainulainen, Samu; Korkalainen, Henri; Töyräs, Juha; Myllymaa, Sami; Leppänen, Timo; Ylä-Herttuala, Salla; Westeren-Punnonen, Susanna; Muraja-Murro, Anu; Jäkälä, Pekka; Mervaala, Esa; Myllymaa, Katja, 2021, Sleep medicine, 79, 71-78. A1 Journal article (refereed), original research
Self-Applied Home Sleep Recordings: The Future of Sleep Medicine
Korkalainen, Henri; Nikkonen, Sami; Kainulainen, Samu; Dwivedi, Amit Krishna; Myllymaa, Sami; Leppänen, Timo; Töyräs, Juha, 2021, Sleep medicine clinics, 16, 4, 545-556. A2 Review article, Literature review, Systematic review
Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings
Rusanen, Matias; Kainulainen, Samu; Korkalainen, Henri; Kalevo, Laura; Myllymaa, Katja; Leppanen, Timo; Toyras, Juha; Arnardottir, Erna Sif; Myllymaa, Sami, 2021, IEEE access, 9, 157902 - 157915. A1 Journal article (refereed), original research
Deep Learning for Next-Generation Sleep Diagnostics: sophisticated computational methods for more efficient and accurate assessment of sleep and obstructive sleep apnea
Korkalainen, Henri, 2020, Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences. G5 Doctoral dissertation (article)
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
Korkalainen, H; Aakko, J; Duce, B; Kainulainen, S; Leino, A; Nikkonen, S; Afara, I O; Myllymaa, S; Töyräs, J; Leppänen, T, 2020, Sleep, 43, 11, zsaa098. A1 Journal article (refereed), original research
Effect of sweating on electrode-skin contact impedances and artifacts in EEG recordings with various screen-printed Ag/Agcl electrodes
Kalevo, Laura; Miettinen, Tomi; Leino, Akseli; Kainulainen, Samu; Korkalainen, Henri; Myllymaa, Katja; Töyräs, Juha; Leppänen, Timo; Laitinen, Tiina; Myllymaa, Sami, 2020, IEEE access, 8, 50934-50943. A1 Journal article (refereed), original research
Estimating daytime sleepiness with previous night EEG, EOG and EMG spectrograms in patients with suspected sleep apnea using a convolutional neural network
Nikkonen, Sami; Korkalainen, Henri; Kainulainen, Samu; Myllymaa, Sami; Leino, Akseli; Kalevo, Laura; Oksenberg, Arie; Leppänen, Timo; Töyräs, Juha, 2020, Sleep, 43, 12, zsaa106. A1 Journal article (refereed), original research
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, 4, 00277-202. A1 Journal article (refereed), original research
Longer apneas and hypopneas are associated with greater ultra-short-term HRV in obstructive sleep apnea
Hietakoste, Salla; Korkalainen, Henri; Kainulainen, Samu; Sillanmäki, Saara; Nikkonen, Sami; Myllymaa, Sami; Duce, Brett; Töyräs, Juha; Leppänen, Timo, 2020, Scientific reports, 10, 21556. A1 Journal article (refereed), original research
Power spectral densities of nocturnal pulse oximetry signals differ in OSA patients with and without daytime sleepiness
Kainulainen, Samu; Töyräs, Juha; Oksenberg, Arie; Korkalainen, Henri; Afara, Isaac O; Leino, Akseli; Kalevo, Laura; Nikkonen, Sami; Gadoth, Natan; Kulkas, Antti; Myllymaa, Sami; Leppänen, Timo, 2020, Sleep medicine, 73, 231-237. A1 Journal article (refereed), original research
Severe Desaturations Increase PVT-based Median Reaction Time and Number of Lapses in OSA Patients
Kainulainen, S; Duce, B; Korkalainen, H; Oksenberg, A; Leino, A; Arnardottir, E; Kulkas, A; Myllymaa, S; Töyräs, J; Leppänen, T, 2020, European respiratory journal, 55, 1901849. A1 Journal article (refereed), original research
Accurate Deep Learning-Based Sleep Staging in a Clinical Population with Suspected Obstructive Sleep Apnea
Korkalainen, Henri; Aakko, Juhani; Nikkonen, Sami; Kainulainen, Samu; Leino, Akseli; Duce, Brett; Afara, Isaac Oluwaseun; Myllymaa, Sami; Töyräs, Juha; Leppänen, Timo, 2019, IEEE journal of biomedical and health informatics, 24, 7, 2073-2081. A1 Journal article (refereed), original research
Mortality-risk-based apnea-hypopnea index thresholds for diagnostics of obstructive sleep apnea
Korkalainen, H; Töyräs, J; Nikkonen, S; Leppänen, T, 2019, Journal of sleep research, 28, 6, e12855. A1 Journal article (refereed), original research
Severity of desaturations reflects OSA-related daytime sleepiness better than AHI
Kainulainen, S; Töyräs, J; Oksenberg, A; Korkalainen, H; Sefa, S; Kulkas, A; Leppänen, T, 2019, Journal of clinical sleep medicine, 15, 8, 1135-1142. A1 Journal article (refereed), original research

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Henri Korkalainen

Research groups

Keywords

Artificial intelligence in sleep medicine I: Diagnosis, treatment, care, and research

Association of major adverse cardiovascular events with the apnea-hypopnea index, desaturation severity parameters, and cardiac troponins in participants of the Akershus Sleep APnea (ASAP) cohort

Automated daily adaptation for breast cancer radiotherapy: benefits of deep learning-driven dose prediction workflow for CBCT-based adaptation

Direct Quantification of Uncertainty in Deep Learning-Based Automatic Sleep Staging

Editorial: Novel technologies in the diagnosis and management of sleep-disordered breathing, volume III

KaSARi: a national framework for standardized, automated, and predictive radiotherapy in Finland

RAVEN: Software for automated sleep microstructure analysis from electroencephalography

Review of Hypoxemia Quantification Methods for Assessing the Severity of Obstructive Sleep Apnea

A comprehensive dose-volume histogram-based index for radiotherapy treatment plan quality evaluation: application to breast cancer radiotherapy

A novel mobile application to examine impaired vigilance through digital means

Editorial: Novel technologies in the diagnosis and management of sleep-disordered breathing, volume II

Validation of manually scored multichannel frontal electroencephalography against polysomnography in a paediatric cohort

Deep learning‐based prediction of the dose–volume histograms for volumetric modulated arc therapy of left‐sided breast cancer

Editorial: Novel technologies in the diagnosis and management of sleep-disordered breathing

Prolonged lung-to-finger circulation time indicates an increased risk of intermittent hypoxaemia in sleep apnoea patients

Respiratory event index underestimates severity of sleep apnea compared to apnea-hypopnea index

Retrospective validation of automatic sleep analysis with grey areas model for human‐in‐the‐loop scoring approach

Sleep stage continuity is associated with objective daytime sleepiness in patients with suspected obstructive sleep apnea

Temporal and sleep stage‐dependent agreement in manual scoring of respiratory events

Variation in the Photoplethysmogram Response to Arousal From Sleep Depending on the Cause of Arousal and the Presence of Desaturation

Deep learning-based algorithm accurately classifies sleep stages in preadolescent children with sleep-disordered breathing symptoms and age-matched controls

Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings

Morbid obesity influences the nocturnal electrocardiogram wave and interval durations among suspected sleep apnea patients

Multicentre sleep-stage scoring agreement in the Sleep Revolution project

Multi‐centre arousal scoring agreement in the Sleep Revolution

Obstructive Sleep Apnea Patients With Atrial Arrhythmias Suffer From Prolonged Recovery From Desaturations

Reaction time in psychomotor vigilance task is related to hypoxic load in males with sleep apnea

Review and perspective on sleep-disordered breathing research and translation to clinics

Self‐applied somnography: technical feasibility of electroencephalography and electro‐oculography signal characteristics in sleep staging of suspected sleep‐disordered adults

Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders

Translation of obstructive sleep apnea pathophysiology and phenotypes to personalized treatment: a narrative review

A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection

Deep Learning Enables Accurate Automatic Sleep Staging Based on Ambulatory Forehead EEG

Gamma Power of Electroencephalogram Arousal is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea

Obstructive sleep apnea‐related intermittent hypoxaemia is associated with impaired vigilance

Pulse Oximetry: The Working Principle, Signal Formation, and Applications

QTc prolongation is associated with severe desaturations in stroke patients with sleep apnea

STAR sleep recording export software for automatic export and anonymization of sleep studies

The severity and morphology of intermittent hypoxemias are related to impaired daytime alertness

Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network

Comparison of EEG Signal Characteristics Between Polysomnography and Self Applied Somnography Setup in a Pediatric Cohort

Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep apnea

Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease

Self-Applied Home Sleep Recordings: The Future of Sleep Medicine

Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings

Deep Learning for Next-Generation Sleep Diagnostics: sophisticated computational methods for more efficient and accurate assessment of sleep and obstructive sleep apnea

Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea

Effect of sweating on electrode-skin contact impedances and artifacts in EEG recordings with various screen-printed Ag/Agcl electrodes

Estimating daytime sleepiness with previous night EEG, EOG and EMG spectrograms in patients with suspected sleep apnea using a convolutional neural network

Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance task

Longer apneas and hypopneas are associated with greater ultra-short-term HRV in obstructive sleep apnea

Power spectral densities of nocturnal pulse oximetry signals differ in OSA patients with and without daytime sleepiness

Severe Desaturations Increase PVT-based Median Reaction Time and Number of Lapses in OSA Patients

Accurate Deep Learning-Based Sleep Staging in a Clinical Population with Suspected Obstructive Sleep Apnea

Mortality-risk-based apnea-hypopnea index thresholds for diagnostics of obstructive sleep apnea

Severity of desaturations reflects OSA-related daytime sleepiness better than AHI