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

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McNicholas, W. T., Arnardottir, E. S., Leppänen, T., Schiza, S., & Randerath, W. (2023). CPAP therapy for obstructive sleep apnoea: persisting challenges in outcome assessment. European Respiratory Journal, 62(1).

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McNicholas, W.T. & Korkalainen, H. (2023). Translation of obstructive sleep apnea pathophysiology and phenotypes to personalized treatment: a narrative review. Frontiers in Neurology 14:1239016.

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Piccini, J., August, E., Hafstein S. Andersen S. (2023). Sufficient Stability Conditions for a Class of Switched Systems with Multiple Steady States. IEEE Control Systems Letter. 

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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.

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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.

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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.

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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.

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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. 

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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

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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 Research31(4), e13630. 

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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 Informatics26(7), 3418-3426.

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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 health19(17), 10736.

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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 one17(12). 

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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 Research8(4). 

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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.

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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 Access10, 60633-60642.

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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 Medicine100, 479-486. 

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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.

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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 Access10, 26554-26566.

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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. 

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Leppänen, T., Varon, C., de Zambotti, M., & Myllymaa, S. (2022). Machine Learning and Wearable Technology in Sleep Medicine. Frontiers in Digital Health4.

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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

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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.

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Oksenberg, A., & Leppänen, T. (2022). Duration of respiratory events in obstructive sleep apnea: Factors influencing the duration of respiratory events. Sleep Medicine Reviews, 101729.

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Oksenberg, A., & Leppänen, T. (2022). Duration of respiratory events in obstructive sleep apnea: In search of paradoxical results. Sleep Medicine Reviews, 101728.

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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. 

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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.

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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.

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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 Medicine22(1), 1-10.

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2021

Arnardottir, E. S., Islind, A. S., & Óskarsdóttir, M. (2021). The Future of Sleep Measurements: A Review and Perspective. Sleep Medicine Clinics16(3), 447-464.

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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.

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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-Book16(4), 575-593.

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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.

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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).

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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.

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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.

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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 Engineering69(4), 1417-1423.

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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 Access9, 157902-157915.

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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 Access9, 132580-132591.

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