Sleep Revolution
ESRS Involvement
The ESRS is responsible for Work Package 12: Standardisation and Dissemination. This involves facilitating the co-ordination and dissemination of findings from the many research projects carried out by the Sleep Revolution consortium. This will be achieved by presentations at the bi-annual congress of ESRS, which is attended by about 2,000 participants, and by publications in the society journal, the Journal of Sleep Research, which is one of the highest impact sleep journals worldwide. Work Package 12 will also include the employment of a research methodologist by ESRS, funded by Sleep Revolution, whose role will be to facilitate systematic reviews and meta-analyses of existing publications relating to relevant topics for the project. This work will help clarify the existing evidence base for relevant research topics and to identify relevant topics for further research.
Publications
2023
Biedebach, L., Rusanen, M., Þórðarson, B., Arnadóttir, E. S., Óskarsdóttir, M., Nikkonen, S., … & Islind, A. S. (2023). Towards a Deeper Understanding of Sleep Stages through their Representation in the Latent Space of Variational Autoencoders. 56th Hawaii International Conference on System Sciences, 3111-3121.
Link to publication
Piccini, J., August, E., Óskarsdóttir, M., Arnardóttir, E.S. (2023). Using the Electrodermal Activity Signal and Machine Learning for Diagnosing Sleep . Frontiers in Sleep, 2:1127697.
Link to publication
Pires, G. N., Arnardóttir, E. S., Islind, A. S., Leppänen, T., & McNicholas, W. T. (2023). Consumer sleep technology for the screening of obstructive sleep apnea and snoring: current status and a protocol for a systematic review and meta‐analysis of diagnostic test accuracy. Journal of Sleep Research, e13819.
Link to publication
Rusanen, M., Huttunen, R., Korkalainen, H., Myllymaa, S., Töyräs, J., Myllymaa, K., … & Kainulainen, S. (2023). Generalizable Deep Learning-based Sleep Staging Approach for Ambulatory Textile Electrode Headband Recordings. IEEE Journal of Biomedical and Health Informatics.
Link to publication
Sturludóttir, J.E., Sigurðardóttir, S., Serwatko, M., Arnardóttir, E.S., Hrubos-Strøm, H., Clausen, M.V., Sigurðardóttir, S., Óskarsdóttir, M. and Islind, A.S., Deep learning for sleep analysis on children with sleep-disordered breathing: Automatic detection of mouth breathing events. Frontiers in Sleep, 2, p.3.
Link to publication
Sveinbjarnarson, B. F., Schmitz, L., Arnardottir, E. S. & Islind, A. S. (2023). The Sleep Revolution Platform: a Dynamic Data Source Pipeline and Digital Platform Architecture for Complex Sleep Data. Current Sleep Medicine Reports. 1-10.
Link to publication
Þórðarson, B., Islind, A. S., Arnadóttir, E. S., & Óskarsdóttir, M. (2023).Exploration of Sleep Events in the Latent Space of Variational Autoencoders on a Breath-by-Breath Basis. 56th Hawaii International Conference on System Sciences, 3091-3101.
Link to publication
2022
Arnardottir, E. S., Islind, A. S., Óskarsdóttir, M., Ólafsdóttir, K. A., August, E., Jónasdóttir, L., … & Sleep Revolution. (2022). The Sleep Revolution project: the concept and objectives. Journal of Sleep Research, 31(4), e13630.
Link to publication
Borsky, M., Serwatko, M., Arnardottir, E. S., & Mallett, J. (2022). Toward Sleep Study Automation: Detection Evaluation of Respiratory-Related Events. IEEE Journal of Biomedical and Health Informatics, 26(7), 3418-3426.
Link to publication
Ebrahimian, S., Nahvi, A., Tashakori, M., Salmanzadeh, H., Mohseni, O., & Leppänen, T. (2022). Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks. International journal of environmental research and public health, 19(17), 10736.
Link to publication
Ebrahimian, S., Sillanmäki, S., Hietakoste, S., Duce, B., Kulkas, A., Töyräs, J., … & Kainulainen, S. (2022). Inter-sleep stage variations in corrected QT interval differ between obstructive sleep apnea patients with and without stroke history. Plos one, 17(12).
Link to publication
Hietakoste, S., Karhu, T., Sillanmäki, S., Bailón, R., Penzel, T., Töyräs, J., … & Kainulainen, S. (2022). Obstructive sleep apnoea-related respiratory events and desaturation severity are associated with the cardiac response. ERJ Open Research, 8(4).
Link to publication
Huttunen, R., Leppänen, T., Duce, B., Arnardottir, E. S., Nikkonen, S., Myllymaa, S., … & Korkalainen, H. (2022). A Comparison of Signal Combinations for Deep Learning-Based Simultaneous Sleep Staging and Respiratory Event Detection. IEEE Transactions on Biomedical Engineering.
Link to publication
Kalevo, L., Miettinen, T., Leino, A., Westeren-Punnonen, S., Sahlman, J., Mervaala, E., … & Myllymaa, K. (2022). Self-Applied Electrode Set Provides a Clinically Feasible Solution Enabling EEG Recording in Home Sleep Apnea Testing. IEEE Access, 10, 60633-60642.
Link to publication
Karhu, T., Leppänen, T., Korkalainen, H., Myllymaa, S., Duce, B., Töyräs, J., & Nikkonen, S. (2022). Desaturation event scoring criteria affect the perceived severity of nocturnal hypoxic load. Sleep Medicine, 100, 479-486.
Link to publication
Karhu, T., Leppänen, T., Töyräs, J., Oksenberg, A., Myllymaa, S., & Nikkonen, S. (2022). ABOSA–Freely available automatic blood oxygen saturation signal analysis software: Structure and validation. Computer Methods and Programs in Biomedicine, 226, 107120.
Link to publication
Leino, A., Korkalainen, H., Kalevo, L., Nikkonen, S., Kainulainen, S., Ryan, A., … & Myllymaa, K. (2022). Deep learning enables accurate automatic sleep staging based on ambulatory forehead EEG. IEEE Access, 10, 26554-26566.
Link to publication
Leppänen, T., Kainulainen, S., Korkalainen, H., Sillanmäki, S., Kulkas, A., Töyräs, J., & Nikkonen, S. (2022). Pulse Oximetry: The Working Principle, Signal Formation, and Applications. In Advances in the Diagnosis and Treatment of Sleep Apnea (pp. 205-218). Springer, Cham.
Link to publication
Leppänen, T., Varon, C., de Zambotti, M., & Myllymaa, S. (2022). Machine Learning and Wearable Technology in Sleep Medicine. Frontiers in Digital Health, 4.
Link to publication
Mendonça, F., Mostafa, S. S., Gupta, A., Arnardottir, E. S., Leppänen, T., Morgado-Dias, F., & Ravelo-García, A. G. (2022). A-phase index: an alternative view for sleep stability analysis based on automatic detection of the A-phases from the cyclic alternating pattern. Sleep.
Link to publication
Nikkonen, S., Korkalainen, H., Töyräs, J., & Leppänen, T. (2022). STAR sleep recording export software for automatic export and anonymization of sleep studies. Scientific Reports, 12(1), 1-7.
Link to publication
Oksenberg, A., & Leppänen, T. (2022). Duration of respiratory events in obstructive sleep apnea: Factors influencing the duration of respiratory events. Sleep Medicine Reviews, 101729.
Link to publication
Oksenberg, A., & Leppänen, T. (2022). Duration of respiratory events in obstructive sleep apnea: In search of paradoxical results. Sleep Medicine Reviews, 101728.
Link to publication
Pahari, P., Korkalainen, H., Karhu, T., Rissanen, M., Arnardottir, E. S., Hrubos‐Strøm, H., … & Nikkonen, S. (2022). Obstructive sleep apnea‐related intermittent hypoxaemia is associated with impaired vigilance. Journal of Sleep Research.
Link to publication
Schmitz, L., Sveinbjarnarson, B. F., Gunnarsson, G. N, Davíðsson, Ó. A., Davíðsson, Þ. B., Arnardóttir, E. S., Óskarsdóttir, M. & Islind, A. S. (2022). Towards a Digital Sleep Diary Standard. In proceeding of 28th Americas Conference on Information Systems (AMCIS). Minneapolis, USA.
Link to publication
Sigurdardottir, F. D., Øverby, C. T., Nikkonen, S., Karhu, T., Dammen, T., Nordhus, I. H., … & Hrubos‐Strøm, H. (2022). Novel oxygen desaturation parameters are associated with cardiac troponin I: Data from the Akershus Sleep Apnea Project. Journal of Sleep Research, e13581.
Link to publication
Sillanmäki, S., Lipponen, J. A., Korkalainen, H., Kulkas, A., Leppänen, T., Nikkonen, S., … & Kainulainen, S. (2022). QTc prolongation is associated with severe desaturations in stroke patients with sleep apnea. BMC Pulmonary Medicine, 22(1), 1-10.
Link to publication
2021
Arnardottir, E. S., Islind, A. S., & Óskarsdóttir, M. (2021). The Future of Sleep Measurements: A Review and Perspective. Sleep Medicine Clinics, 16(3), 447-464.
Link to publication
Arnardottir, E. S., Korkalainen, H., Nikkonen, S., Kainulainen, S., Dwivedi, A. K., Myllymaa, S., … & Töyräs, J. (2021). Preface: Improving Sleep Measurements for the Future xiii.
Link to publication
Jóhannsdóttir, K. R., Ferretti, D., Árnadóttir, B. S., & Jónsdóttir, M. K. (2021). Objective Measures of Cognitive Performance in Sleep Disorder Research. Measuring Sleep, An Issue of Sleep Medicine Clinics, E-Book, 16(4), 575-593.
Link to publication
Korkalainen, H., Nikkonen, S., Kainulainen, S., Dwivedi, A. K., Myllymaa, S., Leppänen, T., & Töyräs, J. (2021). Self-Applied Home Sleep Recordings: The Future of Sleep Medicine. Sleep Medicine Clinics, 16(4), 545-556.
Link to publication
Leppänen, T., Myllymaa, S., Kulkas, A., & Töyräs, J. (2021). Beyond the apnea–hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity. Sleep, 44(9).
Link to publication
Pevernagie, D., Bauters, F. A., Hertegonne K. (2021). The Role of Patient-Reported Outcomes in Sleep Measurements. Sleep Medicine Clinics, Volume 16, Issue 4, Pages 595-606.
Link to publication
Pevernagie, D. (2021). Future Treatment of Sleep Disorders: Syndromic Approach Versus Management of Treatable Traits? Sleep Medicine Clinics, Volume 16, Issue 3, Pages 465-473.
Link to publication
Pitkänen, H., Duce, B., Leppänen, T., Kainulainen, S., Kulkas, A., Myllymaa, S., … & Korkalainen, H. (2021). Gamma power of electroencephalogram arousal is modulated by respiratory event type and severity in obstructive sleep apnea. IEEE Transactions on Biomedical Engineering, 69(4), 1417-1423.
Link to publication
Rusanen, M., Kainulainen, S., Korkalainen, H., Kalevo, L., Myllymaa, K., Leppänen, T., … & Myllymaa, S. (2021). Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings. IEEE Access, 9, 157902-157915.
Link to publication
Rusanen, M., Myllymaa, S., Kalevo, L., Myllymaa, K., Töyräs, J., Leppänen, T., & Kainulainen, S. (2021). An in-laboratory comparison of FocusBand EEG device and textile electrodes against a medical-grade system and wet gel electrodes. IEEE Access, 9, 132580-132591.
Link to publication
Schmitz, L., Sveinbjarnarson, B. F., Gunnarsson, G. N, Davíðsson, Ó. A., Davíðsson, Þ. B., Arnardóttir, E. S., Óskarsdóttir, M. & Islind, A. S. (2022). Towards a Digital Sleep Diary Standard. In proceeding of 28th Americas Conference on Information Systems (AMCIS). Minneapolis, USA.
Óskarsdóttir M., Islind A., August E., Arnardóttir E., Patou F., Maier A. (2022). Importance of Getting Enough Sleep and Daily Activity Data to Assess Variability: Longitudinal Observational Study JMIR Form Res 2022;6(2):e31807.
Jóhannsdóttir, K. R., Ferretti, D., Árnadóttir, B. S., & Jónsdóttir, M. K. (2021). Objective Measures of Cognitive Performance in Sleep Disorder Research. Measuring Sleep, An Issue of Sleep Medicine Clinics, E-Book, 16(4), 575-593.
Pevernagie, D., Bauters, F. A., Hertegonne K. (2021). The Role of Patient-Reported Outcomes in Sleep Measurements. Sleep Medicine Clinics, Volume 16, Issue 4, Pages 595-606.
Arnardottir, E. S., Korkalainen, H., Nikkonen, S., Kainulainen, S., Dwivedi, A. K., Myllymaa, S., … & Töyräs, J. (2021). Preface: Improving Sleep Measurements for the Future xiii.
Arnardottir, E. S., Islind, A. S., & Óskarsdóttir, M. (2021). The Future of Sleep Measurements: A Review and Perspective. Sleep Medicine Clinics, 16(3), 447-464.
Pevernagie, D. (2021). Future Treatment of Sleep Disorders: Syndromic Approach Versus Management of Treatable Traits? Sleep Medicine Clinics, Volume 16, Issue 3, Pages 465-473.
Presentations
Two Sleep Revolution sessions were held at the 26th Congress of the European Sleep Research Society, Sleep Europe 2022 in Athens, Greece, on 29 September 2022: Beyond the state of the art in diagnosis of OSA – results from Sleep Revolution and “Beyond the PAP” – Personalized treatment of obstructive sleep apnoea in the Sleep Revolution project.
Beyond the state of the art in diagnosis of OSA – results from Sleep Revolution
Session: Beyond the state of the art in diagnosis of OSA – results from Sleep Revolution
Topic: Three-night sleep study for the diagnosis of OSA – pros and cons
Presenter: Dimitri Ferretti, Iceland
Session: Beyond the state of the art in diagnosis of OSA – results from Sleep Revolution
Topic: Sleep Revolution app – adherence to an electronic sleep diary and cognitive tests
Presenter: Anna Sigríður Islind, Iceland
Session: Beyond the state of the art in diagnosis of OSA – results from Sleep Revolution
Topic: Association of desaturation event characteristics to daytime symptoms and comorbidities
Presenter: Dr. Timo Leppänen, Finland
Session: Beyond the state of the art in diagnosis of OSA – results from Sleep Revolution
Topic: Deep learning-based simultaneous segmentation of sleep stages and breathing obstructions for automatic diagnosis of OSA
Presenter: Riku Huttunen, Finland
"Beyond the PAP" - Personalized treatment of obstructive sleep apnoea in the Sleep Revolution project
Session: “Beyond the PAP” – Personalized treatment of obstructive sleep apnoea in the Sleep Revolution project
Topic: Personalized therapeutical concepts: basic concepts and translation to clinics
Presenter: Prof. Winfried J. Randerath, Germany
Session: “Beyond the PAP” – Personalized treatment of obstructive sleep apnoea in the Sleep Revolution project
Topic: Orofacial myofunctional training with autofeedback (OMTa)
Presenter: Dr. PhD Harald Hrubos-Strøm, Norway
Session: “Beyond the PAP” – Personalized treatment of obstructive sleep apnoea in the Sleep Revolution project
Topic: Pharmacological therapies
Presenter: Prof. Jan A. Hedner, Sweden
Session: “Beyond the PAP” – Personalized treatment of obstructive sleep apnoea in the Sleep Revolution project
Topic: Lifestyle intervention: What is enough dose of exercise?
Presenter: Prof. Dr. Jose Miguel Saavedra, Iceland
Current Participants
Gabriel Natan
Pires
Jennifer
Thomsen
