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Samu Kainulainen

Samu Kainulainen

Senior Researcher

Senior researcher in medical physics, signal processing and analysis and sleep medicine. SmartSleep Laboratory project manager.

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

samu.kainulainen@uef.fi

Information Publications

Specialized in measurement and signal analytic techniques in translational research and sleep medicine.

Research groups

Sleep Technology and Analytics Research (STAR) Gr… 01.01.2017 -

Projects

RDI & Teaching environment for next-generation medical devices, softwares and services - open science-based health data for regional growth, investment project Finished 01.08.2021 - 31.08.2023
RDI & Teaching environment for next-generation medical devices, softwares and services - open science-based health data for regional growth, development project Finished 01.08.2021 - 31.08.2023

Keywords

biophysics deep learning machine learning mathematical modelling mathematics medical physics physiological measurements signal analysis sleep medicine

Publications

33 items

Acute cardiorespiratory coupling impairment in worsening sleep apnea-related intermittent hypoxemia
Hietakoste, Salla; Armanac-Julian, Pablo; Karhu, Tuomas; Bailon, Raquel; Sillanmäki, Saara; Töyräs, Juha; Leppänen, Timo; Myllymaa, Sami; Kainulainen, Samu. 2023. IEEE transactions on biomedical engineering. [Early access 31 July 2022]: 1-9
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
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. [Epub ahead of print 13 June 2023]:
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: 2122-2130
Oxygen resaturation rate is significantly associated with objectively assessed excessive daytime sleepiness in suspected obstructive sleep apnoea patients
Howarth, Timothy P.; Karhu, Tuomas; Kainulainen, Samu; Chen, Xin; Mahamid, Alaa; Töyräs, Juha; Leppänen, Timo. 2023. Sleep medicine. 107: 171-178
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. [Epub ahead of print 03 July 2023]: . e13977
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. Teoksessa: Bui, Tung(toim.) , 2023. Proceedings of the 56th Annual Hawaii International Conference on System Sciences. s. 3111-3120. Hawaii International Conference on System Sciences
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
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: 1417-1423
Inter-sleep stage variations in corrected QT interval differ between obstructive sleep apnea patients with and without stroke history
Ebrahimian, Serajeddin; Sillanmäki, Saara; Hietakoste, Salla; Duce, Brett; Kulkas, Antti; Töyräs, Juha; Leppänen, Timo; Lipponen, Jukka A.; Kainulainen, Samu. 2022. PLoS ONE. 17:
Novel oxygen desaturation parameters are associated with cardiac troponin I: Data from the Akershus Sleep Apnea Project
Sigurdardottir, Fjola D.; Øverby, Caroline Tonje; Nikkonen, Sami; Karhu, Tuomas; Dammen, Toril; Nordhus, Inger Hilde; Thorshov, Thea; Einvik, Gunnar; Kainulainen, Samu; Leppänen, Timo; Arnardottir, Erna Sif; Töyräs, Juha; Omland, Torbjørn; Hrubos‐Strøm, Harald. 2022. Journal of sleep research. 31: . e13581
OSA-related respiratory events and desaturation severity are associated with the cardiac response
Hietakoste, Salla; Karhu, Tuomas; Sillanmäki, Saara; Bailón, Raquel; Penzel, Thomas; Töyräs, Juha; Leppänen, Timo; Myllymaa, Sami; Kainulainen, Samu. 2022. ERJ open research. 8:
Pulse Oximetry: The Working Principle, Signal Formation, and Applications
Leppänen, Timo; Kainulainen, Samu; Korkalainen, Henri; Sillanmäki, Saara; Kulkas, Antti; Töyräs, Juha; Nikkonen, Sami. Teoksessa: Penzel, T; Hornero, R(toim.) , 2022. Advances in the Diagnosis and Treatment of Sleep Apnea. s. 205-218. Springer
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: . 204
An In-Laboratory Comparison of FocusBand EEG Device and Textile Electrodes Against a Medical-Grade System and Wet Gel Electrodes
Rusanen, Matias; Myllymaa, Sami; Kalevo, Laura; Myllymaa, Katja; Töyräs, Juha; Leppanen, Timo; Kainulainen, Samu. 2021. IEEE access. 9: 132580-132591
Auttaako teknologia uniongelmiin?
Kainulainen, S; Töyräs, J; Leppänen, T. 2021. Tekniikan maailma. : 68-72
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
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: 2567-2574
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
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: 545-556
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
Uniapnea on kallis kansantauti, joka havaitaan usein liian myöhään - diagnostiikkaa tulee kehittää ja tekoälyllä on tässä merkittävä rooli
Kainulainen, Samu; Hietakoste, Salla. 2021. MustRead. : -
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: zsaa098
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
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: zsaa106
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
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
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
Pulse oximetry-derived biomarkers for severity assessment of obstructive sleep apnea - Associating parametric and frequency-domain features of SpO2 and PPG signals with daytime sleepiness and impaired vigilance
Kainulainen, Samu. 2020. Publications of the University of Eastern Finland. Dissertations in Forestry and Natural Sciences
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
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: 2073-2081
Improved Sweat Artifact Tolerance of Screen-Printed EEG Electrodes by Material Selection-Comparison of Electrochemical Properties in Artificial Sweat
Kalevo, Laura; Miettinen, Tomi; Leino, Akseli; Kainulainen, Samu; Myllymaa, Katja; Toyras, Juha; Leppanen, Timo; Myllymaa, Sami. 2019. IEEE access. 7: 133237-133247
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: 1135-1142

University of Eastern Finland Joensuu, Kuopio © University of Eastern Finland

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Samu Kainulainen

Research groups

Projects

Keywords

Acute cardiorespiratory coupling impairment in worsening sleep apnea-related intermittent hypoxemia

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

Multicentre sleep-stage scoring agreement in the Sleep Revolution project

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

Oxygen resaturation rate is significantly associated with objectively assessed excessive daytime sleepiness in suspected obstructive sleep apnoea patients

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

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

Inter-sleep stage variations in corrected QT interval differ between obstructive sleep apnea patients with and without stroke history

Novel oxygen desaturation parameters are associated with cardiac troponin I: Data from the Akershus Sleep Apnea Project

OSA-related respiratory events and desaturation severity are associated with the cardiac response

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

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

An In-Laboratory Comparison of FocusBand EEG Device and Textile Electrodes Against a Medical-Grade System and Wet Gel Electrodes

Auttaako teknologia uniongelmiin?

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

Uniapnea on kallis kansantauti, joka havaitaan usein liian myöhään - diagnostiikkaa tulee kehittää ja tekoälyllä on tässä merkittävä rooli

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

Pulse oximetry-derived biomarkers for severity assessment of obstructive sleep apnea - Associating parametric and frequency-domain features of SpO2 and PPG signals with daytime sleepiness and impaired vigilance

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

Improved Sweat Artifact Tolerance of Screen-Printed EEG Electrodes by Material Selection-Comparison of Electrochemical Properties in Artificial Sweat

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