
SAMI MYLLYMAA
Senior Researcher
Docent (Medical Physics, especially Biomaterials and Bioelectrode Technology)
Co-head of the Sleep Technology and Analytics Group (STAG)
Adjunct professor Sami Myllymaa received his Ph.D. degree in 2010 and the title of docent in the field of Medical Physics, especially biomaterials and bioelectrode technology in 2014 from the University of Eastern Finland. He is currently acting as a Senior Researcher and Co-head of the Sleep Technology and Analytics Group (STAG) at the Department of Applied Physics, University of Eastern Finland.
His current research is focused on development of novel wearable sensors and machine learning solutions for personalized diagnostics and prognostics of sleep disorders (obstructive sleep apnoea, sleep bruxism). Furthermore, he has been very active in the field of salivary metabolomics and development of new coatings and electrochemical biosensors for point-of-care diagnostics. In addition to scientific publications, his work has led to commercialization of the scientific innovations. He involved to the development of an EEG electrode set for emergency medicine. This BrainStatus EEG-electrode set (Bittium Corp.) is patented, CE-approved and currently marketed globally (https://www.bittium.com/products_services/medical/bittium_brainstatus).
Contact info
Organization
Faculty of Science and Forestry, SIB Labs Infrastructure Unit
sami.myllymaa@uef.fi
Phone
+358 40 557 2499
Research groups - UEF
Publications
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Pitkanen, Henna; Duce, Brett; Leppanen, Timo; Kainulainen, Samu; Kulkas, Antti; Myllymaa, Sami; Töyräs, Juha; Korkalainen, Henri. 2022. Gamma Power of Electroencephalogram Arousal is Modulated by Respiratory Event Type and Severity in Obstructive Sleep Apnea IEEE transactions on biomedical engineering [Epub ahead of print]: -. 2022
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Korkalainen, Henri; Nikkonen, Sami; Kainulainen, Samu; Dwivedi, Amit Krishna; Myllymaa, Sami; Leppänen, Timo; Töyräs, Juha. 2021. Self-Applied Home Sleep Recordings: The Future of Sleep Medicine Sleep medicine clinics 16 4: 545-556. 2021
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Herrala, Maria; Mikkonen, Jopi J. W.; Pesonen, Paula; Lappalainen, Reijo; Tjäderhane, Leo; Niemelä, Raija K.; Seitsalo, Hubertus; Salo, Tuula; Myllymaa, Sami; Kullaa, Arja M.. 2021. Syljen metaboliittien vaihtelu Sjögrenin oireyhtymäpotilailla Suomen hammaslääkärilehti 28 2: 26. 2021
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Rusanen, Matias; Myllymaa, Sami; Kalevo, Laura; Myllymaa, Katja; Töyräs, Juha; Leppanen, Timo; Kainulainen, Samu. 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. 2021
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Rusanen, Matias; Kainulainen, Samu; Korkalainen, Henri; Kalevo, Laura; Myllymaa, Katja; Leppanen, Timo; Toyras, Juha; Arnardottir, Erna Sif; Myllymaa, Sami. 2021. Technical Performance of Textile-Based Dry Forehead Electrodes Compared With Medical-Grade Overnight Home Sleep Recordings IEEE access 9: 157902 - 157915. 2021
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Rissanen, M; Oksenberg, A; Töyräs, J; Myllymaa, S; Leppänen, T. 2021. Total durations of respiratory events are modulated within REM and NREM sleep by sleeping position and obesity in OSA patients Sleep medicine 81: 394-400. 2021
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Nikkonen, Sami; Korkalainen, Henri; Leino, Akseli; Myllymaa, Sami; Duce, Brett; Leppänen, Timo; Töyräs, Juha. 2021. Automatic Respiratory Event Scoring in Obstructive Sleep Apnea Using a Long Short-Term Memory Neural Network IEEE journal of biomedical and health informatics 25 8: 2917-2927. 2021
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Leppänen, Timo; Myllymaa, Sami; Kulkas, Antti; Töyräs, Juha. 2021. Beyond the apnea-hypopnea index: alternative diagnostic parameters and machine learning solutions for estimation of sleep apnea severity Sleep 44 9: 1 - 3. 2021
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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. Neural network analysis of nocturnal SpO2 signal enables easy screening of sleep apnea in patients with acute cerebrovascular disease Sleep medicine 79: 71-78. 2021
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Korkalainen, Henri; Leppänen, Timo; Duce, Brett; Kainulainen, Samu; Aakko, Juhani; Leino, Akseli; Kalevo, Laura; Afara, Isaac O; Myllymaa, Sami; Töyräs, Juha. 2021. Detailed assessment of sleep architecture with deep learning and shorter epoch-to-epoch duration reveals sleep fragmentation of patients with obstructive sleep apnea IEEE journal of biomedical and health informatics 25 7: 2567-2574. 2021