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Henri Korkalainen
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Accurate deep learning-based sleep staging in a clinical population with suspected obstructive sleep apnea
H Korkalainen, J Aakko, S Nikkonen, S Kainulainen, A Leino, B Duce, ...
IEEE journal of biomedical and health informatics 24 (7), 2073-2081, 2019
962019
Severity of desaturations reflects OSA-related daytime sleepiness better than AHI
S Kainulainen, J Töyräs, A Oksenberg, H Korkalainen, S Sefa, A Kulkas, ...
Journal of Clinical Sleep Medicine 15 (8), 1135-1142, 2019
702019
Deep learning enables sleep staging from photoplethysmogram for patients with suspected sleep apnea
H Korkalainen, J Aakko, B Duce, S Kainulainen, A Leino, S Nikkonen, ...
Sleep 43 (11), zsaa098, 2020
612020
Effect of sweating on electrode-skin contact impedances and artifacts in EEG recordings with various screen-printed Ag/Agcl electrodes
L Kalevo, T Miettinen, A Leino, S Kainulainen, H Korkalainen, K Myllymaa, ...
IEEE Access 8, 50934-50943, 2020
342020
Severe desaturations increase psychomotor vigilance task-based median reaction time and number of lapses in obstructive sleep apnoea patients
S Kainulainen, B Duce, H Korkalainen, A Oksenberg, A Leino, ...
European Respiratory Journal 55 (4), 2020
302020
Mortality‐risk‐based apnea–hypopnea index thresholds for diagnostics of obstructive sleep apnea
H Korkalainen, J Töyräs, S Nikkonen, T Leppänen
Journal of sleep research 28 (6), e12855, 2019
222019
Automatic respiratory event scoring in obstructive sleep apnea using a long short-term memory neural network
S Nikkonen, H Korkalainen, A Leino, S Myllymaa, B Duce, T Leppänen, ...
IEEE Journal of Biomedical and Health Informatics 25 (8), 2917-2927, 2021
212021
Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease
A Leino, S Nikkonen, S Kainulainen, H Korkalainen, J Töyräs, S Myllymaa, ...
Sleep Medicine 79, 71-78, 2021
212021
Assessment of obstructive sleep apnea-related sleep fragmentation utilizing deep learning-based sleep staging from photoplethysmography
R Huttunen, T Leppänen, B Duce, A Oksenberg, S Myllymaa, J Töyräs, ...
Sleep 44 (10), zsab142, 2021
172021
Longer apneas and hypopneas are associated with greater ultra-short-term HRV in obstructive sleep apnea
S Hietakoste, H Korkalainen, S Kainulainen, S Sillanmäki, S Nikkonen, ...
Scientific Reports 10 (1), 1-10, 2020
162020
Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep apnea
H Korkalainen, T Leppänen, B Duce, S Kainulainen, J Aakko, A Leino, ...
IEEE journal of biomedical and health informatics 25 (7), 2567-2574, 2020
162020
Power spectral densities of nocturnal pulse oximetry signals differ in OSA patients with and without daytime sleepiness
S Kainulainen, J Töyräs, A Oksenberg, H Korkalainen, IO Afara, A Leino, ...
Sleep medicine 73, 231-237, 2020
92020
Comparison of EEG signal characteristics between polysomnography and self applied somnography setup in a pediatric cohort
S Kainulainen, H Korkalainen, S Sigurᴆardóttir, S Myllymaa, M Serwatko, ...
IEEE Access 9, 110916-110926, 2021
72021
Estimating daytime sleepiness with previous night electroencephalography, electrooculography, and electromyography spectrograms in patients with suspected sleep apnea using a …
S Nikkonen, H Korkalainen, S Kainulainen, S Myllymaa, A Leino, ...
Sleep 43 (12), zsaa106, 2020
72020
Self-applied home sleep recordings: the future of sleep medicine
H Korkalainen, S Nikkonen, S Kainulainen, AK Dwivedi, S Myllymaa, ...
Sleep Medicine Clinics 16 (4), 545-556, 2021
62021
Severe desaturations increase PVT-based median reaction time and number of lapses in OSA patients
S Kainulainen, B Duce, H Korkalainen, A Oksenberg, A Leino, ...
European Respiratory Journal, 2020
52020
Deep Learning for Next-Generation Sleep Diagnostics: sophisticated computational methods for more efficient and accurate assessment of sleep and obstructive sleep apnea
H Korkalainen
Itä-Suomen yliopisto, 2020
42020
Estimating daytime sleepiness with previous night EEG, EOG and EMG spectrograms in patients with suspected sleep apnea using a convolutional neural network
S Nikkonen, H Korkalainen, S Kainulainen, S Myllymaa, A Leino, ...
Oxford University Press (OUP), 2020
42020
Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG
A Leino, H Korkalainen, L Kalevo, S Nikkonen, S Kainulainen, A Ryan, ...
IEEE Access 10, 26554-26566, 2022
32022
Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance task
S Kainulainen, B Duce, H Korkalainen, A Leino, R Huttunen, L Kalevo, ...
ERJ open research 6 (4), 2020
32020
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